June 29 – July 2, 2026 · San Francisco, CA · imported from ai.engineer's public schedule feed

AI Engineer World's Fair 2026 — unofficial import demo

Unofficial demo. This programme was imported from the AI Engineer World's Fair's own public schedule feed to show vibeboard at real conference scale. Not affiliated with, or endorsed by, the organisers.

For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpoints

No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.

553 speakers · sorted by last name

Vyas A

Vyas A

Head of Product, Plivo

Leads Product at Plivo - the developer platform for building voice and messaging agents. His work spans product, growth and developer experience.

1 session

Safia Abdalla

Safia Abdalla

Software Engineer, Warp

Safia Abdalla is a software engineer at Warp working on Oz, Warp's cloud orchestration platform for agents, including multi-agent orchestration and self-improving verification loops.

1 session

Carter Abdallah

Carter Abdallah

Senior Developer Tech, NVIDIA

Founding Engineer at the NVIDIA aquired GPU dev tool Brev.dev. Now leads Agent Marketing and Experience, and internal OSS strategy at NVIDIA.

2 sessions

Marah Abdin

Marah Abdin

Team Lead - Synthetic Data, poolside

Synthetic data Lead at Poolside, building the *Laguna* models (pre-training/post-training). Previously at Microsoft AI/Research, building the *Phi* models.

1 session

Adit Abraham

Adit Abraham

CEO and cofounder, Reducto

Adit Abraham is co-founder and CEO of Reducto, building an AI document-intelligence platform for parsing, understanding, and structuring complex unstructured documents for AI applications. He previously studied computer science at MIT and worked on product at Google.

1 session

Jeremy Adams

Jeremy Adams

Tech Translator, Neo4j

Jeremy Adams-Casañas is a technology communicator and developer-facing specialist associated with Neo4j, Dagger, GitHub, Twistlock, Puppet, and the U.S. Army, speaking on edge agents, NanoClaw, Raspberry Pi, and graph memory.

1 session

Ali Adl-Tabatabai

Founder and CEO, Gitar.ai

Ali-Reza Adl-Tabatabai is founder and CEO of Gitar.ai, a developer-infrastructure company building AI agents for code review, CI analysis, and developer productivity workflows. He previously worked across developer and systems infrastructure at Intel Labs, Google, and Uber.

1 session

Dan Adler

Dan Adler

Sourcegraph

1 session

Palak Agarwal

Palak Agarwal

Developer Relations Lead, Reducto

1 session

Sarthak Aggarwal

Sarthak Aggarwal

Co-founder, Decawork

Sarthak is the co-founder of Decawork, building autonomous IT admin for the AI workforce. Decawork is in production at publicly listed enterprises, autonomously running IT across identity, security, and endpoint infrastructure. Backed by Y Combinator and Entrepreneurs First. A BITS Pilani engineering grad who has been coding since age 10, Sarthak previously built AI agents at NVIDIA, supporting on-ground engineers and FDEs deployed at OpenAI and Meta. He has also engineered enterprise-grade AI agents for Microsoft and Hitachi at Ema. Earlier, he led Conquest, India's largest student-run startup accelerator.

1 session

Armen Aghajanyan

Armen Aghajanyan

Co-Founder & CEO, Perceptron AI

Co-founder & CEO, @perceptroninc; ex-RS FAIR/MSFT

1 session

Hursh Agrawal

Hursh Agrawal

Co-Founder & CTO, The Browser Company

Hursh Agrawal is the Co-founder and CTO of The Browser Company, makers of the Arc and Dia browsers. His work spans compilers (bringing Swift to Windows in partnership with Apple), browser architecture (building on Chromium at scale), and AI product quality (designing eval systems that let small teams ship and improve AI features fast). Previously, he co-founded Branch, which was acquired by Meta. He spends most of his time in the gap between research and production - making technically complex systems workable for the engineers who build consumer products on top of them.

1 session

Lakshya Agrawal

Lakshya Agrawal

Creator and maintainer of GEPA, GEPA

Lakshya A. Agrawal is the creator and maintainer of GEPA and a second-year EECS PhD student at UC Berkeley’s Sky Computing Lab. His research focuses on optimization, evaluation, and self-improvement for LLM-based agents and systems. He previously worked as an AI4Code Research Fellow at Microsoft Research.

1 session

Rashi Agrawal

Rashi Agrawal

Head of Agentic AI, Hinge Health

Rashi Agrawal is the Head of Agentic AI at Hinge Health, where she engineers high-stakes, secure, and HIPAA-compliant systems. Operating at the pioneer edge of generative AI technology, she architects state-of-the-art frameworks that move beyond simple automation to solve critical problems and drive dramatic business growth. Previously, as Head of AI at Goodleap, a leading FinTech in Green Energy, Rashi spearheaded enterprise-wide transformation initiatives that optimized complex loan processing and customer engagement. Blending holistic vision with deep technical expertise, she successfully deployed intelligent decision-making and risk assessment platforms that delivered measurable value. Earlier in her career, Rashi led engineering teams at Yahoo, maturing early-stage technical challenges into massive growth engines for their multi-billion-dollar Advertising business. Her leadership ensures innovation is grounded in business strategy, establishing AI as a competitive moat rather than just an operational layer. Beyond the office, Rashi is a global explorer who has traveled to over 50 countries. A prominent thought leader in the engineering community, she is an Indian immigrant with a Master’s in Software Engineering from San Jose State University, an alumna of the Stanford Graduate School of Business Executive Education program, and the founder of Women In Tech AI (WIT AI), an organization dedicated to empowering and elevating women leaders in the field.

1 session

Ahmed Ahres

Ahmed Ahres

Head of Product & GTM, Reactor

Head of Product & GTM @ Reactor. Previously was the first ever intern at Revolut, started a company backed by a16z Speedrun, built and shipped mobile games, and was a national Tennis champion.

1 session

Naman Ahuja

Naman Ahuja

Senior Software Engineer, Meta

Software Engineer at Meta working at the intersection of distributed systems, AI infrastructure, and hardware enablement. He focuses on adopting new hardware platforms across Meta’s datacenter fleet to support AGI-scale workloads and production AI systems. His work spans capacity management, autoscaling, reliability engineering, and datacenter-scale resource optimization. He has led initiatives to integrate cutting-edge hardware, improve compute utilization, and build reliable platforms for large-scale AI workloads and agentic workflows.

1 session

Extend AI

Extend AI

Extend AI is a document-processing platform for parsing, extracting, classifying, splitting, and editing complex documents so teams can build AI-powered document workflows and reliable document agents.

1 session

Khaled Alashmouny

Khaled Alashmouny

Founder & CEO, AIDAChip

Khaled Alashmouny is the founder and CEO of AIDAChip, where he is building Multiplayer AI systems for semiconductor engineering teams. His work focuses on a core idea: as AI accelerates individual execution, alignment becomes the dominant bottleneck. AIDAChip tackles this by creating AI teammates that coordinate intent, knowledge, and execution across engineers, tools, and organizational boundaries. Before founding AIDAChip, Khaled spent 20 years in semiconductor engineering, including 13 years leading analog/mixed-signal design at Apple. He designed circuits shipped in products used by hundreds of millions of people and saw firsthand how even world-class teams lose enormous time to fragmented knowledge and coordination overhead. Khaled holds 7 patents, published 9 IEEE papers, and earned his PhD in Electrical Engineering from the University of Michigan. His work sits at the intersection of AI, semiconductor engineering, neuroscience, and organizational systems.

1 session

Chris Alexiuk

Chris Alexiuk

Sr. Product Research Engineer, NVIDIA

Chris Alexiuk is a Sr. Product Research Engineer at NVIDIA, he is obsessed with everything and anything about large language models as well as Dungeons & Dragons.

4 sessions

Fuad Ali

Fuad Ali

Senior Product Manager, Arize AI

Fuad Ali is a Senior Product Manager at Arize AI focused on ML observability and reliable AI systems. His background spans engineering and product work at SpaceX, Tesla, Twitter and Federato, and he co-hosts The Next Iteration podcast.

2 sessions

Diogo Almeida

Diogo Almeida

CEO, TypeSafe AI

Diogo Almeida is the Co-founder and CEO of TypeSafe AI, a company building a new class of large language models for true no-human-in-the-loop automation. Diogo brings a decade of deep AI research experience and was formerly at OpenAI and Google Brain. He played a foundational role in shaping the modern LLM landscape, credited with co-inventing InstructGPT, RLHF, ChatGPT, and GPT-4. His work at TypeSafe AI focuses on rethinking foundational LLM assumptions to prioritize reliability, latency, and cost, to build AI that can be embedded deep inside real systems.

1 session

Ishan Anand

Ishan Anand

Chief AI Officer (CAIO), InsightSciences.ai

Ishan Anand is Chief AI Officer (CAIO) at InsightSciences.ai, where he builds LLM-powered synthetic persona systems for market research, using generative AI to model audiences, predict preferences, and validate synthetic methods against real-world data. He has 15+ years of experience leading product, engineering, and technology strategy, including roles as VP of Product and CTO across companies from early stage to acquisition. Ishan is also known for his AI enablement and training consulting work, making complex AI systems understandable and actionable for businesses, most notably through Spreadsheets Are All You Need, an educational project and companion course that implements GPT-2 entirely in Excel.

1 session

Nicholas Arcolano

Nicholas Arcolano

Head of AI & Research, Jellyfish

Head of AI & Research at Jellyfish, building AI agents and data platforms that help software engineering organizations measure and navigate AI transformation at scale. Leveraging massive real-world data sets to study what's working (and what's not) about AI tool and agent use across the industry, and sharing these learnings through published research and benchmarks so engineering leaders can make confident, evidence-based decisions. Harvard Ph.D., previously at TrueMotion (CMT), Runkeeper, MIT Lincoln Laboratory.

1 session

Shruti Arora

Shruti Arora

Member of Technical Staff and Customer Engagement, Amazon AGI Lab

Shruti Arora is with Amazon AGI Lab and is co-presenting the “Build with Perception Agents” workshop at AI Engineer World’s Fair 2026.

1 session

Simran Arora

Simran Arora

Computer Science PhD Student, Stanford University

Simran Arora is a Stanford computer science PhD student working on AI systems, GPU kernels, and efficient model execution. She is a co-author of KernelBench and related multi-GPU kernel research, and is associated with Together AI in recent AI-for-science and systems work.

1 session

Vayum Arora

Vayum Arora

Growth, Weco AI

Vayum started in AI as an ML engineer and product lead on Apple's Intelligence teams, building the foundational models behind its features. After starting his own company, he backed early-stage founders as a seed investor at Founder Collective, then decided to go build. Now he leads growth at Weco AI, taking recursive self-improvement out of the lab and into ML teams across finance, healthcare, and frontier AI.

1 session

Abhi Arya

Abhi Arya

Product, Software, Infra, and Applied AI, Reducto

Abhi Arya works on product, software, infrastructure, and applied AI at Reducto. He previously co-founded Opennote, a YC S25 company acquired by Reducto, and has also worked on browser automation at Browserbase and mission operations software at NASA Johnson Space Center.

1 session

Chaitanya Asawa

Chaitanya Asawa

Head of Engineering for Clinical Decision Support, Abridge

Chaitanya leads agentic experiences & clinical decision support at Abridge, building the Jarvis for Clinicians. Previously he was one of the Founding Engineers at Glean where he built the Glean Assistant ground up technically and core teams. He started his career at Vicarious, an AI Research Lab focused on probabilistic methods & robotics.

1 session

Parth Asawa

Parth Asawa

CS PhD student, UC Berkeley

Parth Asawa is a PhD student at UC Berkeley advised by Professor Matei Zaharia and Professor Joey Gonzalez. Parth's research is on continual learning, studying how to enable models to stably learn from streams of experiences over time. His work focuses on sample-efficient learning and spans the stack of data, learning algorithms, architectures, and evaluation.

1 session

Abhilash Asokan

Abhilash Asokan

ZS

1 session

Alex Atallah

Alex Atallah

Co-founder & CEO, OpenRouter

Alex Atallah is Co-founder & CEO of OpenRouter. OpenRouter provides a unified interface for accessing and routing across hundreds of AI models from many providers.

2 sessions

Lucas Atkins

Lucas Atkins

CTO, Arcee AI

Lucas Atkins serves as CTO and Head of Research at Arcee, where he led the development of the company’s proprietary training stack. He has worked in machine learning since 2019, including text-to-speech systems for automotive systems. His work also includes training specialized language translation systems for the UAE in 2022 and collaborating with ROCM from 2023 to 2024 on optimizing enterprise GPUs for large-scale model training.

2 sessions

Zubin Aysola

Zubin Aysola

Senior Software Engineer Weave, Weights & Biases by CoreWeave

1 session

Adam Azzam

Adam Azzam

Member of Product Staff, Modal

Adam Azzam is a Member of Product Staff at Modal, a high-performance AI infrastructure platform. Before Modal, Adam was VP of Product at Prefect and maintainer of Prefect and FastMCP. He holds a PhD in mathematics.

1 session

Venky B

Venky B

Founder & CEO, Plivo

Founder and CEO of Plivo, a developer platform for building voice and messaging AI agents. Plivo powers thousands of businesses worldwide, from fast-growing startups to Fortune 500 enterprises.

1 session

Kevin Bai

Kevin Bai

Member of Technical Staff, Anthropic

Kevin Bai works in applied AI at Anthropic and has a background in forward deployed engineering, Palantir, Rippling, the United Nations, and international relations.

1 session

Paige Bailey

Paige Bailey

AI Developer Relations Engineering Lead, Google DeepMind

AI leader focused on bridging foundational AI research and real-world implementation. Previously Director of Machine Learning and MLOps at GitHub/Microsoft, with experience across developer tooling, MLOps, and applied machine learning.

1 session

Emile Baizel

Emile Baizel

Amazon AGI Lab

Emile Baizel is with Amazon AGI Lab and is co-presenting the “Build with Perception Agents” workshop at AI Engineer World’s Fair 2026.

1 session

Paul Bakaus

Paul Bakaus

Founder, Renaissance Geek, Inc.

Paul Bakaus is a product engineer, two-time founder, and creative technologist. He's the CEO and founder of Renaissance Geek, Inc., an AI startup emerging from stealth. Its first project, Impeccable, is an open-source design skill, cli and extension that de-slops the design models produce out-of-the-box, and allows live visual iteration with a rich command palette in your production code base. Before Renaissance Geek, Paul spent 20+ years building at the intersection of code, design, and culture. He created jQuery UI in 2007, still running on millions of sites. At Google, he shipped Chrome DevTools features, helped speed up the web with AMP, made it visual with Web Stories, and became Google's first Head of Creator Relations. Most recently, at Spotter, he built Spotter Studio, giving YouTubers back their most precious resource: time. His mission: move the human-AI interface past the chat box, and build AI tools for everyone, not just engineers.

2 sessions

Elie Bakouch

Elie Bakouch

Research Engineer, Prime Intellect

Elie Bakouch is a Research Engineer at Prime Intellect, working to advance open pre-training and mid-training. Previously at Hugging Face, he created and trained the SmolLM series of efficient language models and contributed to numerous open research efforts including Open-R1, SmolVLM, and the open pre-training playbooks, comprehensive guides and recipes for training language models from scratch

1 session

Dan Bălăceanu

Dan Bălăceanu

Chief Product Officer and Co-Founder, DRUID AI

Dan Bălăceanu is Chief Product Officer and Co-Founder at DRUID AI. He works on enterprise AI agents and conversational automation, with a background in business, IT, artificial intelligence, language processing, and large-scale software development.

1 session

Viren Baraiya

Viren Baraiya

Co-Founder and CTO, Orkes

Viren Baraiya is Co-Founder and CTO of Orkes, a company building cloud services around the Conductor orchestration platform. He was one of the original creators of Netflix Conductor and previously led engineering work at Netflix and Google.

1 session

Suchet Bargoti

Suchet Bargoti

Director of Inspection and Mapping, Skydio

Suchet Bargoti is Director of Inspection and Mapping at Skydio, where he leads work on autonomous drone systems for capturing, inspecting, and understanding critical infrastructure. His work spans field robotics, perception, and applied autonomy, with a focus on making drones reliable tools for collecting high-quality data in complex real-world environments.

1 session

Antje Barth

Antje Barth

Member of Technical Staff, Amazon AGI Lab

Member of Technical Staff at Amazon AGI, AI product leader, keynote speaker, and O'Reilly author. She also co-instructed Generative AI with Large Language Models with DeepLearning.AI.

1 session

Dhruv Batra

Dhruv Batra

Co-founder & Chief Scientist, Yutori

Dhruv Batra is a co-founder and the Chief Scientist of Yutori, building web agents. Before this, he was a Senior Director at Meta leading FAIR Embodied AI, and an Associate Professor at Georgia Tech. He received the 2019 Presidential early career award for scientists and engineers (PECASE) from the White House for his work on explainable AI and neural network interpretability. He and his collaborators received the 2025 Mark Everingham Prize for their 2015 work on Visual Question Answering that established "a new strand of vision and language research.” He is a recipient of best paper awards/nominations in every area of AI (vision, NLP, ML, robotics).

1 session

Alex Bauer

Alex Bauer

Co-founder, Upside

Alex Bauer is co-founder of Upside, the data layer for GTM engineers. He spent 2016–2024 at Branch as the public voice of mobile attribution and deep-linking. He now builds the clean, normalized GTM data that revenue teams point Claude and Cursor at to answer "what actually happened, and did it work?"

1 session

Asma Beevi

Asma Beevi

Senior Engineer, NVIDIA

Asma Beevi K T is a senior engineer at NVIDIA, developing the NVIDIA TensorRT Model Optimizer toolkit. Her interests span training and inference optimizations for deep learning models, particularly LLMs.

2 sessions

Yuval Belfer

Yuval Belfer

Sr. Developer Advocate, AI21

Yuval is a Senior Developer Advocate at AI21 Labs, where he helps engineers go from "it works in the demo" to "it works in production." He hosts the YAAP podcast (Yet Another AI Podcast) and teaches applied GenAI on various programs. His work spans RAG, fine-tuning, agents, and evaluation (or Yuval-uation, if you're nasty).

2 sessions

Jo Kristian Bergum

Jo Kristian Bergum

CEO, Hornet.dev

CEO Hornet.dev - building the retrieval engine for agents

1 session

Matthew Berman

Matthew Berman

Founder, Forward Future

2 sessions

Everett Berry

Everett Berry

Head of GTM Engineering, Clay

Everett Berry is the Head of GTM Engineering at Clay, where he pioneers the intersection of technical expertise and go to market execution. Since joining in 2024, he has helped build automated systems that revolutionize how sales teams operate. Everett brings extensive GTM engineering experience from leading growth at cloud cost platform Vantage and database tool Arctype. As an entrepreneur, he founded Perceive, an AI infrastructure company specializing in edge devices and low-power AI inference. Everett holds a B.S. in Computer Engineering from Purdue University and believes great technology must be both built and effectively marketed, championing data-driven approaches to go-to-market strategies.

1 session

Sam Bhagwat

Sam Bhagwat

Founder/CEO, Mastra

co-founder/ceo mastra the typescript agent framework. author principles of building ai agents. prev cofounder gatsbyjs.

1 session

Tejas Bhakta

Tejas Bhakta

CEO, Morph

Founder of Morph. Building specialized models and specialized inference for codegen. Prev. ML engineer at Tesla

1 session

Harshal Bhangale

Harshal Bhangale

Staff Software Engineer, Circle

Harshal Bhangale is a Staff Software Engineer at Circle.

1 session

Abhishek Bhardwaj

Abhishek Bhardwaj

Member of Technical Staff, RL & Agent Infrastructure, OpenAI

Abhishek Bhardwaj works on Agent and Reinforcement Learning Infrastructure at OpenAI. He builds systems that enable large-scale model training in RL environments, as well as secure and scalable cloud sandboxes for OpenAI’s agents. Before joining OpenAI, he created Arrakis, an open-source sandbox for AI agents. Previously, he worked at Google on ChromeOS and foundational microVM technologies, and at Replit on core infrastructure and early versions of Replit Agent.

2 sessions

Ayush Bhardwaj

Ayush Bhardwaj

Tech Lead, Allos AI

Tech Lead at Allos AI building everything AI for Pharma. Previously built agentic AI for macro markets at D. E. Shaw.

1 session

Gagan Bhat

Gagan Bhat

Member of Technical Staff, Anthropic

Gagan is a Product Engineer on Anthropic's Applied AI team. He focuses on prototyping consumer AI features, evaluating model output in vertical domains, and partnering with industry leaders to productize use-cases. Prior to Anthropic, he was an engineer at NVIDIA and Netflix.

1 session

Ameya Bhatawdekar

Ameya Bhatawdekar

VP, Field CTO, Braintrust

Ameya Bhatawdekar is VP, Field CTO at Braintrust, where he helps teams evaluate and observe production AI systems. He previously led machine learning work at Dropbox and focuses on making AI-powered features reliable through evals and observability.

1 session

Preetika Bhateja

Preetika Bhateja

Product Manager, Google

Product Manager at Google/YouTube working on ads, evals, agents, llm-as-judge systems. Before PM, data engineer at google cloud

1 session

Pranay Bhatia

Pranay Bhatia

AI engineer and product leader, Fireworks AI

Pranay Bhatia is an AI engineer and product leader at Fireworks AI. He previously worked on Google’s PaLM and Gemini API developer tools.

1 session

Dan Bjornn

Dan Bjornn

Senior Data Scientist, Lease End

Dan Bjornn is a Senior Data Scientist at Lease End, where he builds AI systems behind the company's sales pipeline. He led the development of an SMS sales agent that generated over $12M in revenue last year, with work spanning fine-tuning, agent architecture, prompt engineering, and evaluations. Prior to Lease End, Dan worked at several early-stage startups. Most notably, he was an early employee at NeuroID, where he helped lay the technical foundations the company carried through to its acquisition by Experian. Dan holds a PhD in cognitive neuroscience and applies it directly to his work designing AI agents with human cognition as the reference model.

1 session

Felipe Blanes

Felipe Blanes

Amazon

1 session

Maria Bledsoe

Maria Bledsoe

General Manager, Product Marketing, Microsoft

Maria Bledsoe is General Manager of Product Marketing at Microsoft, writing and speaking about enterprise AI readiness, AI tools, and the practical foundations required to scale AI across organizations.

1 session

Eyal Blum

Eyal Blum

Software Engineer, Figma

Eyal Blum is a senior staff engineer at Figma working on Client Testing, Observability, and Performance. He works on developer infrastructure and drives AI-assisted development practices across the engineering org, sitting at the intersection of developer tooling and AI adoption — figuring out what it takes for coding agents to actually work in a large, established codebase. Before Figma, Eyal spent nearly 20 years building large-scale systems at companies like Meta, Dropbox, and Google.

1 session

Zach Blumenfeld

Zach Blumenfeld

AI Research Engineer, Neo4j

Zach Blumenfeld is an AI/ML graph specialist at Neo4j who helps engineers, data scientists, and business leaders use graph technology for analytics and intelligent applications, including GraphRAG, agentic systems, fraud detection, entity resolution, and recommendation engines.

1 session

Andrei Bocan

Andrei Bocan

Principal Engineer, Atlassian

Andrei Bocan is a Principal Engineer at Atlassian and a frequent speaker on GraphQL, schema evolution, and platform/API architecture.

1 session

Francesco Bonacci

Francesco Bonacci

Co-founder & CEO, Cua

Francesco Bonacci is co-founder and CEO of Cua (YC X25) and former Engineer at Microsoft. Cua builds the sandboxes, environments, and reinforcement-learning data that frontier labs use to train and evaluate agents that operate desktop and mobile applications. Its open-source framework lets developers spin up computer-use agents in a few lines of code, and its benchmark, Cua-Bench, alongside a catalog of thousands of cross-platform RL environments, is used by leading AI teams to measure real GUI task performance. Francesco works closely with research teams across the agent ecosystem on environment design, grounding data, and evaluation.

1 session

Will Bond

Will Bond

Staff Software Engineer, Uber

Staff Software Engineer at Uber, working on AI developer experience and code review

1 session

Arek Borucki

Arek Borucki

Machine Learning Platform & Database Engineer, Hugging Face

Arek Borucki is a Machine Learning Platform & Database Engineer at Hugging Face, where he helps keep the infrastructure behind one of the world's largest open-source AI platforms running at scale. He is the author of MongoDB in Action 8.0 and co-author of Mastering MongoDB 7.0. With over 10 years of experience in SRE, Kubernetes, AWS, GCP, and managing MongoDB in production, from 100TB+ sharded clusters to cloud-native deployments, he brings deep expertise in databases, platform engineering, and infrastructure at scale.

1 session

Louis-François Bouchard

Louis-François Bouchard

CTO & Co-Founder, Towards AI

Louis-François Bouchard is the co-founder of Towards AI, where he builds and teaches a practical toolkit for shipping reliable LLM products. He co-authored Building LLMs for Production, a hands-on guide to prompting, fine-tuning, retrieval augmented generation, and evaluation. Through Towards AI Academy, he has launched multiple in-depth courses for AI engineers, designed to turn developers into AI professionals who can transform prototypes into scalable, customer-ready systems. He also runs the What’s AI YouTube channel and newsletter, translating new research and best practices into clear engineering playbooks for 70K+ subscribers and tens of thousands of readers. Today, he partners with founders and organizations on AI strategy, training design, and production workflows that raise accuracy, reduce risk, and make generative AI useful for paying customers, and he speaks at events such as AIE, Uphill Conf.

1 session

Eve Bouffard

Eve Bouffard

Head of Design, Y Combinator

Eve is Head of Design at Y Combinator. She joined YC as the youngest member of the admissions team, where she read more than 25,000 startup applications before teaching herself to code and moving into engineering. These days, she works across design and software, building the products founders use and the internal tools that help YC partners support thousands of startups every year. She believes great design isn't what looks best, but what best achieves a given goal. She's happiest building products that make it easier for founders to take a leap, bet on themselves, and make something people want.

1 session

Thais Castello Branco

Thais Castello Branco

Founder & CEO, Taste Labs

Thais Castello Branco is the founder and CEO of Taste, building the taste infrastructure layer for AI across subjective domains, starting with design. Taste works with frontier labs on post-training data and RL environments, and with app-layer companies to improve and evaluate generations via their API. Taste recently closed $18.5M in seed funding, led by Amplify and CRV, and is hiring across engineering and ML research.

2 sessions

Robert Brennan

Robert Brennan

CEO, OpenHands

Robert Brennan is the CEO of All Hands AI, the company behind OpenHands, an MIT-licensed software development agent. He has previously worked in natural language processing (for Google search) and has spend the last decade building commercial open source software.

1 session

Cormac Brick

Cormac Brick

Principal Engineer, Google AI Edge, Google

Principal Engineer at Google working on edge AI. Lead on the Google AI Edge team and contributes to Gemma Model development. An early pioneer in Edge AI, his industry background includes leading Intel’s first laptop NPUs, as well as demonstrating edge AI on a USB key way back in NeurIPS 2016. These days he is technical lead for a team that drives multiple open source projects (Google AI Edge Gallery, LiteRT-LM, LiterRT, Xnnpack, Mediapipe) that enable Edge AI for billions of users.

1 session

Julian Bright

Julian Bright

Co-Founder, Introspection

Julian Bright is a co-founder at Introspection, building infrastructure for agent autoresearch and agent systems with Roland Gavrilescu.

1 session

Maor Bril

Maor Bril

Chaos Catalyst, Character.ai

Maor is a Principal Software Engineer at Character.ai, where he builds the agentic platform behind Stories, Streams, and the AI Social Feed (16M+ MAU). He open-sourced claude-agent-sdk-go and JudgeJudy, the multimodal eval harness that gates every AgentX release. Before Character.ai he led the Datastores org at Coinbase and shipped infrastructure at Netflix, Google, and VMware (via the Arkin acquisition). Twenty years of building systems that run in production. He writes about agentic systems and AI engineering on LinkedIn.

1 session

Dylan Bristot

Dylan Bristot

Product Marketing, Token Factory

Dylan Bristot works in product marketing at Token Factory and speaks on practical approaches for scaling open-model inference in production AI infrastructure.

1 session

Matt Brockman

Matt Brockman

AI Engineer, E2B

AI Engineer at E2B. Building sandboxes for you.

1 session

Jake Broekhuizen

Jake Broekhuizen

Labs Lead, LangChain

1 session

Will Brown

Will Brown

Researcher, Prime Intellect

Will Brown leads Applied Research at Prime Intellect and builds open research infrastructure to enable every company to train, deploy, and self-improve their own frontier agentic models. He holds a PhD in Computer Science from Columbia University.

2 sessions

Theo Browne

Theo Browne

Founder/YouTuber, T3 Tools & YouTuber

Full time CEO of T3 Tools. Part time YouTuber, investor, and developer.

2 sessions

Omri Bruchim

Omri Bruchim

Engineering Group Manager, Monday

Omri Bruchim is an Engineering Group Manager at monday.com, where he leads the AI group and focuses on building trustworthy, production-ready AI systems. With nearly 20 years of experience in software engineering and leadership, he previously held a GM role at Wix, and founded a real-time data processing platform in his startup called drift.dev. Omri began his career in Unit 8200 and holds Degree from Ben-Gurion University and MBA from Tel Aviv University. He is passionate about making AI accessible and impactful, and enjoys flying his kite-surf on weekends.

1 session

David Brumley

David Brumley

Chief AI and Science Officer, Bugcrowd, Inc

Dr. David Brumley is Chief AI & Science Officer at Bugcrowd and a full professor at Carnegie Mellon University, where he has spent decades advancing the state of offensive security. He is the founder of picoCTF, the world’s largest cybersecurity competition, and advisor to PPP/MMM, one of the most successful competitive hacking teams globally, and a venture partner at Rain Capital. His work spans automated vulnerability discovery, exploit generation, and large-scale offensive systems, including pioneering efforts such as Mayhem, the Cyber Grand Challenge–winning technology. His research and products have helped shape how organizations think about continuous, automated security at scale.

1 session

Pauline Brunet

Pauline Brunet

VP, Forward Deployed Engineering, Cursor

VP of Forward Deployed Engineering at Cursor. Building the motion and team to help customers adopt Cursor and drive meaningful returns. We configure and co-build alongside customer software and transformation teams. Spent 10 years in AI deployments across enterprises.

1 session

Will Bryk

Will Bryk

CEO, Exa

Will Bryk is building the next generation of search. As co-founder and CEO of Exa, he's chasing perfect search: an engine that gives every AI the highest quality information in the world, retrievable in milliseconds. Exa powers search for Cursor, Cognition, HubSpot, OpenRouter, and over 400,000 developers, and recently raised a $250M Series C at a $2.2B valuation from a16z, Benchmark, Lightspeed, Nvidia, and Y Combinator. Will grew up in New York City and studied CS and physics at Harvard, where he led the robotics club and dove into ML research. He founded Exa on one conviction: information is civilizational infrastructure, and if every AI can reach the best information, so can every human.

1 session

Daniel Bump

Daniel Bump

Engineer, Google

Engineer at Google. Focus area: image/video generation and computer vision.

1 session

Ivan Burazin

Ivan Burazin

CEO, Daytona

Co-founder and CEO of Daytona; previously co-founded Codeanywhere and served as Chief Developer Experience Officer at Infobip.

1 session

Christopher Burns

Christopher Burns

Founder, Inth

Christopher Burns is the founder of Inth, building developer-first privacy compliance infrastructure for modern software teams. Inth started with c15t, an open-source consent SDK with 2.6M npm downloads, used by teams including Vercel, Cal.com, Zed, Infisical, Sanity, and others. Inth helps companies move privacy compliance closer to the product itself, giving developers infrastructure for consent, data rights, policy enforcement, and evidence instead of slow dashboard-first tooling. Christopher is a second-time founder and first-time YC founder. His previous company, Everfund, built enterprise nonprofit donation infrastructure and exposed the compliance problems that led to Inth: the deepest privacy failures are usually not in policy docs, but in the product itself.

1 session

Dmitry Buykin

Dmitry Buykin

Applied AI Lead, Staff Software Engineer, Maersk

Dmitry Buykin builds production AI agent systems that turn frontline tribal knowledge into executable SOPs, tool calls, evidence trails, and evaluation loops across 100+ countries. Before enterprise AI agents became a trend, Dmitry worked on AI/ML adoption at DataRobot and on real-time systems in finance, including payments infrastructure in Nordic banking and algorithmic high-frequency trading systems at Deutsche Bank, where latency, correctness, and risk controls mattered at every step. He has 25+ years of experience building distributed systems, data platforms, and ML/AI products across logistics, banking, fintech, cybersecurity, and telecom, with prior roles at Nordea, Danske Bank, Oracle and several startups. Dmitry studied Applied Mathematics with a focus on mechatronics and the simulation of magnetic-levitation transport. He also leads the Applied AI Chapter at Maersk and runs bootcamps, helping software engineers move from LLM demos to reliable production systems.

1 session

Sean Cai

Sean Cai

CEO, Independent / State of Data

Data Quality Research at Prime Intellect and State of Data Author. Prior investor at Hummingbird and Costanoa.

1 session

Brandon Callender

Brandon Callender

Founding Engineer, typedef

Brandon Callender is a founding engineer at typedef, where he builds AI-native infrastructure for data engineering agents. His work focuses on the data context layer agents need to reason beyond code and database access.

1 session

George Cameron

George Cameron

Co-Founder, Artificial Analysis

Co-Founder at Artificial Analysis, the leading independent AI benchmarking company. Artificial Analysis publishes benchmarks and analysis across agents, models, inference providers and hardware. Artificial Analysis maintains widely referenced leaderboards and evaluation frameworks that are regularly cited by frontier AI organizations, including OpenAI, Anthropic, Google, NVIDIA and others.

1 session

Alex Campos

Director of Sales Partnerships, FriendliAI

Alex Campos leads sales partnerships at FriendliAI, a frontier AI inference cloud focused on high-performance open-weight model serving and production inference optimization.

1 session

Killian Carlsen-Phelan

Killian Carlsen-Phelan

Developer Content Engineer, Sonar

Killian Carlsen-Phelan is a Developer Content Engineer at Sonar. He writes and teaches about SonarQube, AI-generated code review, Codex CLI integration, and quality gates for agentic development workflows.

1 session

Marco Casalaina

Marco Casalaina

VP Products, Core AI and AI Futurist, Microsoft

Marco Casalaina is VP Products, Core AI and AI Futurist at Microsoft. His recent public posts center on GitHub Copilot, Copilot CLI, and Microsoft's CoreAI work.

1 session

Pablo Castro

Pablo Castro

Distinguished Engineer and CVP, Microsoft

Pablo leads the AI Knowledge team in the CoreAI division at Microsoft, where he focuses on building state-of-the-art information understanding and retrieval systems for AI applications and agents, including products such as Foundry IQ, Azure AI Search and Azure Content Understanding.

1 session

Gabriel Cemaj

Gabriel Cemaj

Member of the Technical Staff, Anthropic

Member of the Technical Staff @ Anthropic working on Claude Managed Agents

4 sessions

Ethan (Jung Min) Cha

Ethan (Jung Min) Cha

AI Development Lead, The Carlyle Group

AI Development Lead at Carlyle partnering with investor relations teams to surface high-value AI opportunities and building the AI platform that ship them at scale. His work sits at the intersection of AI and relationship-driven corners of finance: how capital gets raised, how investors are understood, and how relationship scales. Across earlier roles at Cedar, a healthcare fintech company, and Novelis, a global manufacturing leader, he learned that curiosity about every edge of a complex problem, ruthless prioritization, and an obsessive focus on user outcomes are what separate AI demos from AI products that stick. But the real secret, he found, is understanding that successful product is about people, systems, and how solutions get sold and adopted.

1 session

Daniel Chalef

Daniel Chalef

Founder and CEO, Zep AI

Daniel Chalef is the founder and CEO of Zep, agent memory at enterprise scale. He co-created Graphiti, the popular open-source temporal knowledge graph framework. A second-time founder, Daniel previously built and led machine learning and engineering teams at late-stage companies. He lives in San Francisco.

1 session

Mike Chambers

Mike Chambers

Senior Developer Advocate for Generative AI, Amazon Web Services (AWS)

Mike Chambers is a Senior Developer Advocate for Generative AI at AWS. He creates practical agentic-AI and Amazon Bedrock educational material, including serverless agentic workflows and Generative AI with Large Language Models content.

1 session

Shawn Chan

Vice President, China Resources Holdings

Shawn Chan is Vice President at China Resources Holdings, leading a consumer-sector fund, and was previously Head of Investment at A.S. Watson Group (CK Hutchison). Across fifteen years he has executed cross-border M&A, IPOs and strategic investments in companies including Oatly, Airbnb, SenseTime, Moore Threads, Leapmotor and EVE Energy, across Hong Kong, mainland China, the UK and the US. MSc Finance from the University of Manchester. His current focus is what it takes for AI agents to earn trust inside real investment committee workflows.

1 session

Ashok Chandrasekar

Ashok Chandrasekar

Staff Software Engineer, Google

Ashok Chandrasekar is a Staff Software Engineer at Google working on AI Inference performance evaluation and optimization for Google Kubernetes Engine. He is a project lead and maintainer of Inference Perf and co-lead of SIG Benchmarking in the llm-d project. He holds a Master's degree from Carnegie Mellon University. Previously, he was a Staff Engineer at VMware. His interests lie in Distributed Systems with his current focus being Systems for AI/ML applications.

1 session

Anirban Chatterjee

Anirban Chatterjee

Director, Product and Solutions Marketing, Sonar

Anirban Chatterjee leads AI strategy and partnerships at Sonar, working at the intersection of AI product, go-to-market, and developer code quality as software teams adopt AI agents.

1 session

Tisha Chawla

Tisha Chawla

Software Engineer, Microsoft

Tisha Chawla is a Software Engineer at Microsoft, where she builds production-grade agentic systems designed to perform reliably against real enterprise data. Moving past isolated AI demos, her work targets the core infrastructure of agent engineering: durable state management, deterministic execution, and self-healing workflows that recover without manual intervention. As an architect rather than a consumer of AI, Tisha designs the orchestration layers that allow coding agents, reliability agents, and spec-driven development workflows to scale. She is a published applied machine learning researcher and regularly delivers deep-dive technical sessions on deploying resilient, enterprise-scale AI architecture.

1 session

Alex Cheema

Alex Cheema

CEO, EXO Labs

Alex Cheema is founder and CEO of Exo, focused on decentralized and local AI infrastructure.

2 sessions

Rob Cheung

Rob Cheung

Co-founder, Zo Computer

Rob Cheung is Co-founder of Zo Computer. He was previously the first engineer at Substack and earlier worked on the Venmo team before reuniting with Ben Guo to build Zo.

1 session

Wei-Lin Chiang

Wei-Lin Chiang

Co-founder & CTO, Arena

Wei-Lin Chiang is the co-founder and CTO of Arena, the leading open platform for evaluating AI through real-world human feedback. A systems builder and researcher, Wei-Lin has played a foundational role in the design, scaling, and launch of the community-driven evaluation platform. He earned his Ph.D. in Computer Science from UC Berkeley where worked with Ion Stoica. His research focused on AI systems and evaluation. His work spans everything from efficient distributed systems to dataset curation, and model evaluation, with publications in top venues including ICLR, NeurIPS, NSDI, SIGMOD, KDD, and ICML. He was a core contributor to widely cited projects such as Chatbot Arena, LLM judge, Vicuna, and co-authored multiple open benchmarks that shape how AI models are evaluated today. Outside of work, Wei-Lin enjoys hiking and cycling, often exploring new trails and routes as a way to unwind and stay active.

1 session

Stephen Chin

Stephen Chin

VP of Developer Relations, Neo4j

Stephen Chin is VP of Developer Relations at Neo4j, program chair and board member for the LF AI & Data Foundation, and author of numerous titles including the upcoming GraphRAG: The Definitive Guide for O'Reilly. He has given keynotes and main stage talks at numerous conferences around the world including AI Engineer Summit, AI DevSummit, Open Source Summit, Devoxx, Jfokus, DevNexus, JNation, JavaOne, Shift, Joker, swampUP, and GIDS. Stephen is an avid motorcyclist who has done evangelism tours in Europe, Japan, and Brazil, interviewing developers in their natural habitat. When he is not traveling, he enjoys teaching kids how to do AI, embedded, and robot programming together with his daughters.

1 session

Ronak Chokshi

Ronak Chokshi

Director of Product Marketing, Microsoft

Ronak Chokshi is Director of Product Marketing at Microsoft, with recent public activity around Microsoft Copilot, Copilot CLI, Azure Content Understanding, and AI marketplace/product announcements.

1 session

Jai Chopra

Jai Chopra

Product Manager, Uber

Product Lead in the Applied AI team at Uber. Previously worked at Cruise and various startups.

1 session

Rowan Christmas

Staff Product Manager, Docker

Rowan Christmas is a Staff Product Manager at Docker with prior strategy, technology and consulting leadership experience, working in Docker's AI/agent platform context.

1 session

Gabriel Chua

Gabriel Chua

Developer Experience Engineer, OpenAI

At OpenAI, Gabriel is a Developer Experience Engineer helping developers build, ship, and scale with Codex. Previously, he worked in Singapore’s public sector on applied responsible AI research and LLM systems to combat online scams.

1 session

Byung-Gon (Gon) Chun

Byung-Gon (Gon) Chun

Founder & CEO, FriendliAI

Founder and CEO of FriendliAI, an AI infrastructure company focused on efficient deployment and scaling of large language and multimodal models. Previously served as a professor at Seoul National University and held research roles at Facebook, Microsoft, Yahoo!, and Intel.

1 session

Jim Clark

Principal Software Engineer, Docker

Jim Clark is a Principal Software Engineer at Docker working on Docker's MCP tooling and gateway. His recent work focuses on secure, controlled interfaces between AI agents, tools, and MCP servers.

1 session

Cyrus Clarke

Cyrus Clarke

Researcher, MIT Media Lab

Cyrus Clarke is an award-winning designer and technologist at MIT Media, exploring intelligence that is embodied, sensory and expressive. His recent embodied AI work, "I Gave an AI a Body", has reached over 15 million viewers globally. He also led HARD MODE, MIT's first Hardware x AI hackathon, which brought 200+ builders together in March 2026.

1 session

Benjamin Clavié

Benjamin Clavié

Member of Technical Staff, Mixedbread Inc.

MTS at Mixedbread working on building the future of Retrieval.

1 session

Clay Cockrell

Clay Cockrell

Co-Founder, CoupleWork AI

Clay Cockrell, LCSW is a pioneering psychotherapist with over 30 years of experience. He is the founder of Walk and Talk Therapy, conducting therapy sessions in NY’s Central Park and is an exited founder of The Online Counseling Directory (www.onlinecounseling.com). Clay has written several articles for The Guardian and made media appearances on Good Morning America, NPR’s Wait, Wait, Don’t Tell Me, CBS’s The Doctors, and The Happiness Lab. His work and expertise have been highlighted in major publications including The Wall Street Journal, The New York Times, New York Magazine, Bloomberg Businessweek, The Financial Times, and The Times of London. As the co-founder of CoupleWork, Clay is at the forefront of integrating artificial intelligence into relationship coaching. The app, featuring Maxine, an AI relationship coach, provides couples and individuals with evidenced based and personalized guidance to navigate relationship challenges.

1 session

Rodrigo Coelho

Rodrigo Coelho

CEO, Edge & Node

**Rodrigo Coelho** (pronounced KWAY-lee-o) is a serial entrepreneur and seasoned technology leader and early web3 innovator with over two decades of experience in engineering, entrepreneurship, and decentralized infrastructure. In 2025, he became **Chief Executive Officer of Edge & Node**, the core developer of **The Graph**, where he guides the company’s vision, strategy, and global growth. Rodrigo was the first hire for The Graph, playing a pivotal role in its early architecture, ecosystem development, and community expansion. His career began in the late 1990s, when he co-founded an application development firm during the early web era, delivering solutions for Fortune 500 clients. He later founded and successfully exited two technology startups, further solidifying his track record in innovation and leadership. With a foundation in Industrial Engineering, Rodrigo is recognized for his strategic vision and deep technical expertise. He is committed to advancing the decentralized web, empowering developers, and fostering a thriving global community through research, partnerships, and open innovation. He is based in the San Francisco Bay area.

1 session

Eli Cohen

Director of Technology Incubation, Snyk

Director of Technology Incubation at Snyk, focused on securing an AI-native future through research and incubations. Previously co-founded Helios, which was acquired by Snyk in 2024; has held product and engineering leadership roles and is an alumnus of Unit 8200.

1 session

Lina Colucci

Lina Colucci

CEO, LemonSlice

Co-Founder and CEO of LemonSlice, an AI lab working to break the avatar Turing test. LemonSlice raised $10.5M seed from Matrix and YC and have the most advanced interactive avatar model in the world. Originally from Brazil, Lina is an ML researcher and artist - ballerina, musician, photographer, YouTuber. She previously founded and ran one of the leading ML consulting firms in the US, and has a PhD from MIT and Harvard.

1 session

Samuel Colvin

Samuel Colvin

Founder & CEO, Pydantic

Samuel Colvin is a Python and Rust developer and the founder of Pydantic Inc., backed by Sequoia. With over 13 years of software engineering experience, he created Pydantic Validation, an open source library downloaded over 550M times per month and a core dependency of virtually every GenAI Python library. Samuel has also built Pydantic Logfire (developer-first observability), Pydantic AI (agent framework), Pydantic Evals (AI evaluation), and Pydantic AI Gateway (model routing) and Pydantic Monty (a python implementation, in rust, for LLMs to run code without host access). Samuel maintains an active presence in the developer community through GitHub and X (@samuelcolvin), where he shares his work, engages with other developers, and posts his opinionated takes.

1 session

Ryan Cooke

Ryan Cooke

WorkOS

1 session

David Corbitt

David Corbitt

Head of Product, Serverless Training, CoreWeave

Co-founder and CPO of OpenPipe, acquired by CoreWeave. We specialized in fine-tuning task-specific LLMs to match or exceed performance of frontier models with lower latency and cost. Now head of product for Serverless Training, building and distributing fine-tuning techniques to AI engineers.

1 session

Gustavo Cordido

Gustavo Cordido

Cloud Advocate & AI Content Engineer, Microsoft

Cloud Advocate and AI Content Engineer at Microsoft working in machine learning and AI. He builds hands-on labs and open-source demos for AI agents using Azure AI services, Microsoft Foundry, and the Model Context Protocol (MCP), and regularly delivers talks to developer audiences.

1 session

Dylan Couzon

Dylan Couzon

DevRel Engineer, Qdrant

Dylan Couzon is a DevRel Engineer at Qdrant. His WF26 talk, "The Frontier Is Coming Home," discusses the trend of increasingly capable models becoming small enough to run locally.

1 session

Frank Coyle

Frank Coyle

Lecturer, UCALBerkeley / Founder AI/Edge, UCAL Berkeley

Frank Coyle (also known as drC) is a recently retired computer science professor who spent 32 years at Southern Methodist University, where he was repeatedly recognized as a standout teacher, before moving into part-time online teaching generative AI and large language models at Berkeley on. He is also a visiting professor at the University of Bologna, where he teaches generative AI in the graduate school of business. His path to AI runs through an unusual range of disciplines: psychology, neuroanatomy and physiology, and computer science. That cross-domain background shapes how he thinks about intelligent systems—drawing connections others miss, from neural architecture to software design patterns. His current work focuses on the practical engineering of agentic AI systems and the architectural gaps that cause them to fail. He argues that many agent failures are symptoms of a missing layer: formal ontologies acting as logical guardrails around probabilistic reasoning. He also teaches AI to district attorneys and formerly-incarcerated students. (150 words)

2 sessions

John Craft

John Craft

Solutions Engineer, Docker

John Craft works in Sales Engineering/Solutions Engineering at Docker. His recent speaking context centers on governing MCP and moving from approval loops to autonomous agents with Docker.

6 sessions

Jan Curn

Jan Curn

Founder & CEO, Apify

Founder and CEO of Apify, a popular marketplace of web data tools for AI. He has a lifelong passion for software engineering, earning him an MSc and PhD in computer science, and eventually leading him to found Apify. Jan is known in San Francisco and Prague tech circles, he talks about software, startups, and AI, and regularly hosts events.

2 sessions

Pierluca D'Oro

Pierluca D'Oro

Founder, Programma Labs

Pierluca D’Oro is founder at a stealth startup revolutionizing how humans interact with AI-generated software. At Mila, he pioneered two early ideas that now sit at the center of agent development: making reinforcement learning scale through simple recipes, and using LLMs as feedback systems to train agents. At Meta Superintelligence Labs, he worked on frontier model development and led environment generation for mobile computer use agents.

1 session

Ryan Dahl

Ryan Dahl

CEO, Deno

Ryan Dahl is a programmer and the creator of Node.js and co-founder of Deno. Born in California in the early 1980s, he studied mathematics at the University of Rochester before pursuing graduate work in algebraic topology at UC San Diego. In 2009 he created Node.js, which brought JavaScript to the server and reshaped how a generation of developers builds software. He later spent time at Google Brain researching early generative image models, and in 2018 co-founded Deno, a modern, secure runtime for JavaScript and TypeScript.

1 session

Andrew Dai

Andrew Dai

Co-founder and CEO, Elorian

Andrew Dai spent 12 years as a Research Scientist at Google Brain and DeepMind. He wrote the 2015 paper that OpenAI later cited as the original recipe for ChatGPT, was a core Lead on Gemini, GLaM, and PaLM 2, and his published research has accumulated over 67,000 citations. Now, he leads Elorian, a company building AI systems that understand the visual medium and apply reasoning the way humans do. Elorian recently launched with $55M at a $300M valuation, backed by Menlo Ventures, Altimeter, Striker Venture Partners, NVIDIA and Jeff Dean.

1 session

Matt Dailey

Matt Dailey

Founder, Ref.

Matt Dailey is building Ref., including ref.tools and MCP tooling that helps coding agents work with public and private libraries without wasting context or using incorrect APIs.

1 session

Abdul Dakkak

Abdul Dakkak

Chief Scientist, Modular

Abdul Dakkak is Chief Scientist at Modular, where he works on AI compute, GenAI performance, Mojo, kernels, framework and serving layers for Modular's platform.

1 session

Cornelia Davis

Cornelia Davis

Principal Technologist, Temporal

Cornelia's career has spanned several major shifts in software, from image processing algorithm development to web-centric computing in the late 90s, and then more than a decade working in cloud-native software, infrastructure and platforms (Cloud Foundry, Kubernetes and friends). Those experiences in distributed systems, combined with a longstanding interest in programming models, led her to Temporal where she is helping to bring a new programming paradigm to an industry that was increasingly in need of one - a need that has accelerated dramatically with the advent of modern AI systems. Much of her work today focuses on the architectural needs and evolving practices of these AI systems. Her current research explores asynchronous processing and the development of AI-native distributed systems abstractions, with an emphasis on the emerging patterns and programming models shaping this new era of software. She is the author of Cloud Native Patterns: Designing Change-Tolerant Software.

1 session

Patrick Debois

Patrick Debois

Member Technical Staff, Tessl

Independent advisor, Product DevRel lead at Tessl, and curator of ainativedev.io, he studies AI-native development patterns, context engineering, and how the context flywheel turns everyday coding into organizational knowledge. Know for his pioneering work on DevOps and DevOpsdays.

1 session

Samuel Denton

Samuel Denton

Platform Research Lead, Applied Compute

Leading Platform Research at Applied Compute — focused primarily on continual learning, context, synthetic users/tasks, and more around our RL stack. Previously at Scale AI and Amazon.

1 session

Amit Desai

Amit Desai

Director, Voice & Assistant AI, Roku

Amit Desai is a domain expert in voice AI assistants who has led voice AI products at Alexa and Roku, founded startups in customer support AI, and created Top 5 mobile apps in the App Store. He works at the intersection of voice-interface intuition and AI technical approaches, with a current focus on safer voice interfaces for AI assistants, wearables, robotics, and vehicles.

1 session

Ekaterina Deyneka

Ekaterina Deyneka

Founder & CEO, Reelful

Kate Deyneka is the founder and CEO of Reelful, an agentic video editor for social media. She founded Reelful in October 2025 and built the product end to end, including multimodal pipelines for media understanding, automated editing, and mobile deployment. Reelful launched in April 2026 and is available on the App Store. Reelful is part of the a16z speedrun SR007 cohort. Previously, Kate was a senior machine learning engineer at Snap, where she led video generation from research to production and shipped AI features used by more than 100 million daily users.

1 session

Aparna Dhinakaran

Aparna Dhinakaran

CPO, Arize

Aparna Dhinakaran is the Co-Founder and Chief Product Officer at Arize AI, a pioneer and early leader in AI & Agent observability and evaluation. A frequent speaker at top conferences and thought leader in the space, Dhinakaran was recently named to the Forbes 30 Under 30. Before Arize, Dhinakaran was an ML engineer and leader at Uber, Apple, and TubeMogul (acquired by Adobe). During her time at Uber, she built several core ML Infrastructure platforms, including Michealangelo. She has a bachelor’s from Berkeley's Electrical Engineering and Computer Science program, where she published research with Berkeley's AI Research group.

1 session

Ben Dicken

Ben Dicken

1 session

Charlie Dickens

Charlie Dickens

1 session

Nixon Dinh

Nixon Dinh

PayPal

1 session

Prakhar Dixit

Prakhar Dixit

Partner, McKinsey

Partner in McKinsey’s Seattle office with more than 10 years of experience advising CxOs on technology transformations on growth and productivity. He has a background in product management and software engineering, helping technology companies grow efficiently through AI, improved ways of working, and operating model transformations.

2 sessions

Lovina Dmello

Lovina Dmello

Senior Software Developer, NVIDIA

Lovina Dmello is a senior infrastructure software engineer on the Deep Learning Libraries team at NVIDIA, where she works on building and maintaining the infrastructure that powers the NVIDIA deep learning ecosystem. Before joining NVIDIA, Lovina spent four years at Apple on the Apple Payments and Wallets backend team, and three years at Oracle on the Oracle Cloud Infrastructure team. She earned her master's degree in Computer Science from the University of Georgia, where her thesis focused on ransomware classification using machine learning algorithms. Lovina shares her insights through research papers and writing on AI/ML security, agentic AI systems, TensorRT, deep-learning libraries, and infrastructure best practices.

1 session

Kent C. Dodds

Kent C. Dodds

Software Engineer and Educator, EpicProduct.engineer

Kent C. Dodds is a world renowned web development educator and engineer. He's actively involved in the open source community. He is the creator of EpicProduct.engineer, EpicWeb.dev, EpicAI.pro, EpicReact.dev, and TestingJavaScript.com. He's a Microsoft MVP, GitHub Star, instructor on egghead.io and Frontend Masters, live streamer, and podcaster. Kent is married and the father of six kids and he lives in Utah.

2 sessions

Giselle van Dongen

Giselle van Dongen

Developer Advocate, Restate

Giselle is a Developer Advocate and Engineer at Restate. She works on integrations between Restate and the AI ecosystem and helps its users with understanding how Restate simplifies the development of durable agents and backends. Before that, she worked in the field of data science, big data analytics, and stream processing, and obtained a PhD on this topic at Ghent University.

1 session

Brian Douglas

Brian Douglas

CoFounder, Paper Compute Company

Brian is the founder of the Paper Compute Company, an distributed systems primitives for AI agents. Brian previously founded Open Sauced where he woreds on increasing the knowledge and insights of open-source communities. In the past he’s lead Developer Advocacy at GitHub by fostering a community of early adopters through conversations with the top open source maintainers on GitHub.

3 sessions

Heather Downing

Heather Downing

Developer Advocate, Yugabyte

Heather Downing is a developer advocate and 7x Microsoft MVP focused on AI, data, security and C#/.NET. She has experience building enterprise voice, mobile and .NET applications and is active in developer-community speaking and mentorship.

1 session

Paula Dozsa

Paula Dozsa

iOS Engineer, Tolan

Paula Dozsa is an iOS engineer creating whimsical AI companions at Tolan. She previously co-founded and led development at EdTech startup imagi and built iOS apps at xAI and Spotify.

1 session

Max Drake

Max Drake

Product Engineer, tldraw

Product engineer at tldraw building a very good infinite canvas sdk, currently working on bringing agents to the canvas

1 session

Stefania Druga

Stefania Druga

Research Scientist, Sakana.ai

Hi! I am Stef. I am currently a Research Scientist at Sakana AI in Tokyo, Japan working on novel architectures beyond the transformer. Previously I was a research at Google Deep Mind working on novel multimodal AI applications. I graduated with a Ph.D. in Creative AI Literacies at the University of Washington Information School.

1 session

Ankur Duggal

Solutions Architect, Arize AI

Ankur Duggal is a Solutions Architect at Arize AI, where he helps enterprise teams make AI agents and applications reliable in production. His work includes tracing agent decisions, implementing evaluations, and building feedback-driven workflows for agentic systems.

1 session

Dillon DuPont

Dillon DuPont

CTO, Cua

Building computer-use agents at Cua, WindowsAgentArena co-author

1 session

Emil Eifrem

Emil Eifrem

CEO, Neo4j

Emil Eifrem is the co-founder and CEO of Neo4j, the graph database and analytics leader that enabled investigative journalists to crack the Panama Papers leak, NASA to get to Mars two years faster, power discoveries in biodiversity and genomics sampling, cancer research, fraud detection, scientific research, and serve thousands of organizations worldwide including 75 of the Fortune 100. Graph uniquely organizes data in the same way that the human brain does in expressing the complex relationships, context and connections between data as data itself. By uncovering the web of relationships underlying our interconnected world, graph enables organizations to dynamically predict what happens when these relationships change and why. Emil created the category of graph databases and has devoted his professional life to building, innovating, and evangelizing graphs. Graph has since become the fastest-growing database category over the past decade. Neo4j’s series F funding round was also the largest in database history, valuing the company at more than $2B. Gartner predicts that by 2025, graph technologies will be used in 80% of data and analytics innovations — up from 10% in 2021 — facilitating rapid decision-making across the enterprise. Neo4j has become essential for enterprise GenAI in reducing hallucinations with knowledge graphs, serving as long-term memory for LLMs, and dramatically improving GenAI outcome accuracy, explainability, and transparency. Neo4j is headquartered in Silicon Valley. Emil is based in Sweden.

1 session

Ramana Siddanth Emani

Ramana Siddanth Emani

Data Scientist, Auditoria AI

Data Scientist @ Auditoria AI, building SmartResearch Agent.

1 session

Alexander Embiricos

Alexander Embiricos

Head of Enterprise Product, OpenAI

Alexander Embiricos is the Head of Enterprise Product at OpenAI. He previously led product for Codex and worked on ChatGPT Desktop, with a consistent focus on building assistants that work alongside people in their work and personal contexts. Before joining OpenAI, Alexander founded Multi, a pair-programming startup acquired by OpenAI in 2024. Alexander is half Greek and half Malaysian and came to the United States to study Mechanical Engineering and Computer Science at Stanford University.

1 session

Simon Eskildsen

Simon Eskildsen

CEO and co-founder, turbopuffer

Co-founder and CEO at turbopuffer. Formerly Principal Engineer at Shopify, where he helped scale infra from 1K → 1M RPS.

1 session

Paola Estefania

Paola Estefania

Staff Engineer, Better Auth

Staff Engineer at Better Auth focused on agent Identity. Co creator of Agent Auth Protocol

1 session

Tony Fabrikant

Tony Fabrikant

Co-founder, CoupleWork AI

Tony Fabrikant is cofounder of BetterLabs AI and builder of CoupleWork, an AI relationship coach helping couples navigate conflict, repair, crisis moments, and long-term relationship health. He previously held senior technology leadership roles at S&P Global, where he served as CTO for a major financial data and analytics business, and at Bridgewater Associates, where he worked on investment technology and research systems. Tony’s work focuses on applying AI agents, real-time voice AI, and safety-first product design to deeply human problems. At CoupleWork, he partners with cofounder Clay Cockrell, LCSW, a licensed relationship therapist, to build evidence-based AI support for couples who are priced out of therapy, between sessions, or otherwise unable to access traditional support. He is especially interested in how AI systems can be designed to strengthen human relationships rather than simply maximize engagement.

1 session

Yuchen Fama

Yuchen Fama

Senior Principal Product Manager, Red Hat

Yuchen Fama is a Builder, Benchmarker, and Senior Principal Product Manager of Inference at Red Hat and also a contributor to vLLM and GuideLLM. She has more than 15 years of experience in ML and AI. She has served as VP of Product, CTO, and CPO at multiple AI startups and previously led AI/ML research teams within several Fortune 500 companies. She holds a Ph.D. in Statistics and enjoys reading, traveling, skiing, and scuba diving.

1 session

Shu Fang

Shu Fang

Software Engineer, Two Sigma Investments

Software engineer at Two Sigma Investments building the AI platform. Formerly led Developer Productivity and Insurance Engineering teams. Previously at Wealthfront.

1 session

Dan Farrelly

Dan Farrelly

CTO and Co-founder, Inngest

Dan Farrelly is CTO and co-founder of Inngest, a platform for durable serverless functions, workflows and agent orchestration. He was previously CTO at Buffer and created developer tools including Timezone.io and MailDev.

1 session

Gil Feig

Gil Feig

CTO and Co-Founder, Merge

Gil Feig is CTO and co-founder of Merge, where he works on connective infrastructure for production AI and writes about context graphs and integration architecture.

1 session

Dan Feng

Dan Feng

Senior Director of Engineering, Maven Clinic

Dan Feng is Senior Director of Engineering at Maven Clinic, leading AI Platform and Core Member Experience. He oversees the company’s AI infrastructure and member-facing systems, helping teams build production AI applications across healthcare experiences. His work focuses on AI agents, LLM platforms, personalization, and scalable generative AI architectures. At Maven, he leads the company-wide AI initiative, driving adoption of AI across products, operations, and care delivery.

1 session

Raymond Feng

Raymond Feng

Researcher, Applied Compute

Researcher at Applied Compute. Building the post-training stack, training specialized workhorse models for enterprises, and researching new techniques for model customization. Graduated from MIT.

1 session

Miguel González Fernández

Miguel González Fernández

Tech Lead, Browserbase

Miguel González Fernández is a Tech Lead at Browserbase and co-author of the Microsoft Research/Browserbase Universal Verifier work for computer-use agents.

1 session

Rustem Feyzkhanov

Rustem Feyzkhanov

Senior Engineering Manager - AI Platform, Snorkel AI

Rustem Feyzkhanov is a Senior Engineering Manager on the AI Platform Engineering team at Snorkel AI, where he leads work on infrastructure and platform systems for building expert-authored datasets, simulation environments, and evaluation pipelines for frontier AI models and production agents. His work focuses on scalable agent evaluation, secure sandboxed execution, benchmark quality, and the systems needed to run large volumes of agent simulations reliably. Before Snorkel, Rustem was an ML Engineering Manager at Instrumental, applying AI to manufacturing, and an engineer at Astro Digital, building AI systems for satellite imagery. He is passionate about AI agents, evaluation infrastructure, serverless computing, and practical machine learning systems. Rustem is the author of the course and book Serverless Deep Learning with TensorFlow and AWS Lambda and Practical Deep Learning on the Cloud, and he is the main contributor to the open-source lambda-packs repository for serverless Python packages.

1 session

Todd Fisher

Todd Fisher

Head of Engineering Launching 0-1 startups, Philo Ventures

In his current role Todd co-launches a new venture backed startup every few months, acting as an interim CTO / founding engineer. Over Todd’s close to 20 year career, he has held titles such as head of engineering, director of engineering and principal software engineer. Todd loves to build things and, like many of us, has been embracing the shift into the AI native mindset of software development. When Todd is not telling an AI to write code, he can be found strumming his guitar in random places, such as the beach, in the mountains, on his front porch, or even at a tech conference such as this one :). Todd is passionate about creating positive experiences for people, including through writing music, building products, and community building . Todd is always open for a jam session or the occasional paired programming with strangers, just ask.

1 session

Valeria Wu Fon

Valeria Wu Fon

Product Manager, Google DeepMind

Product Manager at Google DeepMind for Gemini's speech to speech model. Previously worked across early stage companies, venture/banking, and a brief stint at a surf hostel. Valeria studied Symbolic Systems (CS, Neuroscience, and Philosophy) at Stanford, where she focused on human-centered AI. Originally from Lima, Peru, she is a single-digit golfer and a dedicated foodie.

1 session

Michael Forrester

Michael Forrester

AI Workforce Transformation, Accenture

Michael Forrester is a student, explorer, and educator working at the boundary between humanity and technology. Over 25+ years he's moved from CTO to individual contributor across operations, AI, machine learning, cloud infrastructure, and platform engineering, including time at AWS, ThoughtWorks, Red Hat, and Honeywell. Today he helps organizations adopt generative AI in ways that are sustainable, secure, and cost-effective, building on training programs that have reached over a million engineers across AWS, Kubernetes, and AI-driven operations. He speaks regularly at KubeCon and CNCF events and co-hosts podcasts on how AI is reshaping the engineering discipline. His work spans Claude Code and MCP integrations, AI safety frameworks for platform engineers, and courses ranging from AWS certifications to K8sGPT. His read on the 2020s: engineering is evolving, not disappearing. Systems thinking, design thinking, and architecture matter more than ever, even as the tools change. Tools don't transform organizations. People do.

1 session

Pamela Fox

Pamela Fox

Principal Cloud Advocate, Microsoft

Pamela Fox is a developer advocate at Microsoft, where she helps developers use Python with Azure, Microsoft Foundry, VS Code, and GitHub. Before Microsoft, she was an early engineer at Coursera, early DevRel at Google, lecturer at UC Berkeley, and creator of the Khan Academy programming courses.

6 sessions

Sebastian Fox

Sebastian Fox

CEO, Composo

CEO of Composo. Former MD. Led AI teams at McKinsey & QuantumBlack. Working on quality evaluation for AI in high-stakes domains (e.g. health, pharma, legal, finance)

1 session

Itamar Friedman

Itamar Friedman

Co-Founder & CEO, Qodo

Co-founder and CEO of Qodo, an AI-driven code integrity platform. Previously co-founded Visualead, which was acquired by Alibaba, and later served as Director of Machine Vision at Alibaba.

1 session

Charles Frye

Charles Frye

Member of Technical Staff, Modal

Charles Frye builds and teaches people to build AI applications. After publishing research in psychopharmacology and neurobiology, he got his Ph.D. at the University of California, Berkeley, for dissertation work on neural network optimization. He has taught thousands the entire stack of AI application development -- from linear algebra fundamentals and GPU arcana to building defensible businesses -- through work at Weights and Biases, Full Stack Deep Learning, and Modal.

1 session

Dan Fu

Dan Fu

VP of Kernels, Together AI

VP of Kernels at Together AI and Assistant Professor of Computer Science and Engineering at UC San Diego, focused on efficient machine learning systems and GPU performance.

1 session

Corey Gallon

Corey Gallon

Managing Director, Rexmore

Corey Gallon is Managing Director of Rexmore, an AI-native holding company that is building, buying and transforming businesses with AI. He's an experienced AI engineer focused on shipping real, maintainable software with coding agents. Previously he was: - Chief Innovation Officer of PwC's Commercial Technology business - Adjunct Professor of Graduate AI & Machine Learning at Loyola University Chicago - Agentic-coding OG: a primary contributor to, and board member, of GPT-Engineer (the open source project that became Lovable) Corey is an artisan roaster and brewer of specialty coffee (ask him about his flat white game) and a pickleball fanatic.

1 session

Garrett Galow

Garrett Galow

Product Manager, WorkOS

Garrett Galow works on product at WorkOS, where he focuses on enterprise identity and agent access patterns. His recent AI Engineer content covers Cross-App Access and WorkOS Studio for helping business users answer operational questions.

1 session

Vinoo Ganesh

Vinoo Ganesh

CEO & Co-Founder, Kepler

CEO & Co-Founder of Kepler, backed by founders of OpenAI and Facebook AI, building verifiable AI infrastructure. Vinoo spent 7 years at Palantir as a software engineer and forward deployed engineer, leading and deploying across commercial, healthcare, and defense. He led Project Frontline, Palantir's rotation program that moves software engineers into FDE roles. Later, he served as Head of Business Engineering at Citadel, leading the FDE function embedded in the investment business.

2 sessions

Asaf Gardin

Asaf Gardin

Senior Software Engineer/Inference Engineer, AI21

Asaf Gardin is a Senior Software Engineer on the inference team at AI21 Labs, where he works on high-performance LLM inference and the production deployment of the Jamba hybrid SSM-Transformer models. He's an active vLLM committer, contributing to quantization, scheduling, and support for Mamba-based architectures. His talk covers two production bugs in vLLM's Mamba support - a scheduler edge case that corrupted SSM state under memory pressure, and a 32-bit integer overflow in a CUDA kernel that surfaced as RL training instability - both root-caused at AI21 and fixed upstream. He also built Kernel Academy, a browser-based tutorial for learning Triton GPU programming. Previously at IBM.

1 session

Rayan Garg

Rayan Garg

CEO, Theta Software

CEO at Theta Software, building RL environments. Previously at DeepSilicon.

1 session

Andrew Garvin

Andrew Garvin

Cofounder of Metronome, Stripe

Andrew Garvin is co-founder of Metronome, now part of Stripe. Andrew began his career at Peter Thiel’s hedge fund, working with Palantir in the early days, and then built his career as a startup and venture CFO in the Founders Fund network.

1 session

Javier Garza

Javier Garza

Developer Advocate, Snyk

Developer Advocate at Snyk, a cybersecurity company focused on securing code, open-source dependencies, and cloud infrastructure. Co-author of O'Reilly's Learning HTTP/2 and an experienced conference speaker on developer and security engineering topics.

1 session

Aditya Gautam

Aditya Gautam

Machine Learning Lead, Meta

Aditya Gautam is a seasoned AI practitioner and leader specializing in multimodal LLMs, multi-agent systems, and scalable architectures for recommendation systems. At Meta, he led Generative AI initiatives for Reels within complex domains like user interest exploration and policy understanding, architecting and training complex multimodal models and developing agentic solutions for adversarial video challenges. His work spanned end-to-end pre- and post-training workflows along with designing multi-agent solutions with optimizing engineering pipelines for large-scale production deployment. Prior to Meta, Aditya spent over three years at Google building large-scale computer vision and content understanding systems. A recognized industry voice, his work has been featured by Nasdaq and Marktechpost. He frequently speaks at major events like the Databricks Data + AI Summit, Silicon Slopes, and MLOps Summit, and serves as a peer reviewer for NeurIPS, ICML, and AAAI, focusing on the practical bridge between frontier research and production engineering.

1 session

Roland Gavrilescu

Roland Gavrilescu

Co-Founder, CEO, Introspection

Co-founder and CEO at Introspection, building infra for self-improving AI systems. Previously at xAI and Superhuman.

1 session

Bogdan Gaza

Bogdan Gaza

Co-Founder & CTO, DatologyAI

Bogdan Gaza is Co-Founder and CTO at DatologyAI, working on systems that help teams make better use of their data for AI model development and training.

1 session

Idan Gazit

Idan Gazit

Head of GitHub Next, GitHub

Idan Gazit leads GitHub Next, the birthplace of GitHub Copilot, and many more prototypes that explore how AI will make software development faster, easier, safer, and more accessible for developers everywhere. As a hybrid designer and developer, his interests span a variety of fields. Idan is keenly interested in data display issues, typography, and color. You're likely to hear him talk about the pit of success, and the importance of good nouns. Idan was previously a principal engineer at Heroku, and is an alumnus of the Django web framework's core development team. He is a firm believer in the power of web technologies, and is most at home in them, though many evenings you can find him soldering a new keyboard or muttering foul language while trying to get Rust to run on a microcontroller.

3 sessions

Serena Ge

Serena Ge

CEO, Datacurve

CEO at Datacurve. Building research and data collection infrastructure to advance frontier models. Datacurve is the creator of DeepSWE benchmark - the benchmark designed to reflect the realistic experience of developers in their day-to-day work.

1 session

Matt Gibiec

Regional Director, Solutions Engineering, Dynatrace

Matt Gibiec is a Regional Director in Dynatrace’s Solutions Engineering organization focused on software and AI-native markets. He helps organizations solve complex software delivery and observability challenges.

1 session

Tyler Gillam

Tyler Gillam

Senior Software Engineer II - Agentic AI, Digital Ocean

Tyler Gillam is a Senior Software Engineer II working on Agentic AI at DigitalOcean and a core engineer on DigitalOcean's Inference Router, focused on intelligent model routing by cost, latency, task type, and model preference.

1 session

Tanmai Gopal

Tanmai Gopal

CEO/cofounder, PromptQL

Tanmai is the CEO/cofounder of PromptQL (née Hasura). He loves programming languages, databases and working on creating simple abstractions to solve hard problems.

1 session

Jonathan Gordon

Jonathan Gordon

Founder, ReWeaver AI

JONATHAN GORDON is the Founder & CEO of ReWeaver AI, a platform that detects design-code drift at the point of generation in AI-assisted development. With nearly three decades of experience, he has shaped developer tools and enterprise software at Google, Apple, Microsoft, Oracle, and SAP. He holds two patents and specializes in human-centered design for complex systems, AI/ML integration, and developer tooling

1 session

Vinoth Govindarajan

Vinoth Govindarajan

Member of Technical Staff, OpenAI

Vinoth Govindarajan is a Member of Technical Staff at OpenAI, where he works on core data infrastructure for large-scale AI systems and internal agent platforms. His work focuses on control planes, stateful architectures, scalability, low-latency systems, observability, and reliability patterns that make production system safe, resilient, and predictable. Vinoth brings an end-to-end perspective on modern data platforms and open table formats. Before OpenAI, he was a Staff Software Engineer at Apple, where he helped build next-generation data platforms using Apache Iceberg, Spark, Trino, and Flink. Earlier, at Uber, he developed incremental ETL frameworks and real-time data pipelines powered by Apache Hudi. Outside of his work, he is the co-author of Engineering Lakehouses with Open Table Formats book and writes The Agent Stack on substack platform, a systems-first publication about production AI agents and data infrastructure. Vinoth is also an open-source contributor and has presented at industry conferences and community events on lakehouse architecture, data systems, and agent harness.

1 session

Shashank Goyal

Shashank Goyal

Head of Provider Ecosystem, OpenRouter

Shashank Goyal is Head of Provider Ecosystem and a Founding Engineer at OpenRouter, where he helps build the infrastructure powering one of the world's largest LLM marketplaces. He works on the systems that enable developers and enterprises to access, route, and scale across hundreds of AI models and providers through a single API. Prior to OpenRouter, Shashank was a backend engineer at OpenSea and spent more than four years as a software engineer at Google. His experience spans large-scale infrastructure, developer platforms, and AI systems, with a focus on reliability, performance, and developer experience.

1 session

Niv Granot

Niv Granot

Tech Group Lead, AI21 Labs

Niv Granot is a Tech Group Lead at AI21 Labs working on AI systems engineering, retrieval, web search, and knowledge-intensive tools. He has discussed RAG evaluation and query-dependent chunking in AI21 technical content.

1 session

Jean-Denis Greze

Jean-Denis Greze

Co-Founder & CEO, Town

Jean-Denis Greze is co-founder and CEO of Town, a personal AI assistant that does real work for people inside the tools they already use - email, calendar, Slack, and more. Previously he was Chief Technology Officer at Plaid, where he led engineering through the company's hypergrowth, and before that a Director of Engineering at Dropbox. He also invests through ASDF Ventures. He's spoken and written widely on engineering leadership and building "spiky" organizations, and is based in San Francisco.

1 session

Michael Grinich

Michael Grinich

Founder & CEO, WorkOS

Founder and CEO of WorkOS, a company focused on APIs and integrations that help applications become enterprise-ready.

1 session

Remy Guercio

Remy Guercio

Strategic Projects, Tailscale

Remy Guercio works on Strategic Projects at Tailscale. His recent AI talks and interviews focus on network-based sandboxes, secure LLM access, and identity-aware infrastructure for AI agents.

1 session

Benjamin Guo

Benjamin Guo

Cofounder, Zo Computer

Cofounder of Zo Computer. Joined Stripe early (2015), where he worked for over 8 years. Founding engineer on Terminal, Stripe's in-person payments arm. Ben's cofounder, Rob Cheung, was the first engineer at Substack. They met on the early Venmo team in 2013, and they've reunited to build Zo.

1 session

Charlie Guo

Charlie Guo

Developer Experience Engineer, OpenAI

Charlie Guo is a Developer Experience Engineer at OpenAI, where he helps developers build with the OpenAI API. He is also the author of Artificial Ignorance, an AI publication at the intersection of engineering and intelligence. Before joining OpenAI, Charlie spent more than a decade building products and internal tools, including as a startup founder. He is based in Berkeley, California.

2 sessions

Aman Gupta

Aman Gupta

Principal Machine Learning Engineer, Nubank

Aman Gupta is a Senior Staff Engineer at Nubank. His work focuses on AI agents and simulation-driven development for financial services.

1 session

Daksh Gupta

Daksh Gupta

co-founder/CEO, Greptile

Daksh is the co-founder/CEO of Greptile. Greptile is building AI agents that review code changes for 7,000+ companies like Nvidia, Coinbase, and Scale. It has raised $30M from Benchmark, YC, Paul Graham and others. Before this, Daksh studied computer science at Georgia Tech

1 session

Nishant Gupta

Nishant Gupta

Software Engineer, Tech Lead, Meta

I am a Staff Software Engineer and Researcher at Meta, specializing in large-scale distributed systems, AI infrastructure, and operational resilience. Within Meta Superintelligence Labs, I build agentic infrastructure that enables AI systems to operate reliably in production through evaluation, auditing, safety controls, feedback loops, and human oversight. I previously led the development of Meta’s next-generation elastic compute infrastructure, managing roughly 30% of fleet capacity across tens of millions of servers in 20+ geo-distributed datacenters, delivering billions of dollars in infrastructure savings while shaping multi-year strategy with executive leadership. My research focuses on resource optimization, reliability, and safe AI deployment at scale. I designed and deployed Dynamic Idle Resource Leasing, a production system that safely oversubscribes datacenter capacity while preserving strict reliability guarantees. I have authored research papers with 90+ citations. I am passionate about building scalable, fault-tolerant systems and translating cutting-edge research into real-world infrastructure that delivers measurable impact.

1 session

Sitanshu Gupta

Sitanshu Gupta

Coreweave

1 session

Soumya Gupta

Soumya Gupta

ML Engineer, Uber

Soumya Gupta is a Tech Lead and Applied AI Engineer at Uber, where she architects and scales production-grade Generative AI and Computer Vision solutions. Her work focuses on deploying agentic orchestration, multimodal modeling, and core machine learning primitives at global scale.

1 session

Suraj Gupta

Suraj Gupta

Software Engineer, Warp

Suraj Gupta is a software engineer at Warp working on agentic developer experience and AI terminal workflows, including Warp's agentic development environment.

1 session

Vaibhav Gupta

Vaibhav Gupta

CEO, Boundary

Vaibhav Gupta is the co-founder at Boundary and building BAML, a new programming language that's agent first. Previously at D. E. Shaw, Google, and Microsoft. In his free time, Vaibhav dabbles in competitive table tennis and board games, and various aspects of compilers and VMs.

1 session

Doug Guthrie

Doug Guthrie

Solutions Engineer, Braintrust

1 session

Bereket Habtemeskel

Bereket Habtemeskel

CEO, Better Auth

Founder & CEO of Better Auth, the most popular auth framework for TypeScript, and co-author of the Agent Auth protocol

1 session

Jesse Hall

Staff Developer Advocate, Livekit

Jesse Hall is a Staff Developer Advocate at LiveKit and a full-stack developer who specializes in teaching TypeScript developers how to build AI-powered web applications using real-time communication technologies. He creates practical articles, videos, and interactive talks that break down complex voice AI and agent concepts into clear, production-ready takeaways.

1 session

Lena Hall

Lena Hall

Senior Director Developers and AI, Akamai

Lena Hall is Senior Director Developers and AI at Akamai. She previously led Developer Experience for North America at AWS and Big Data Developer Relations at Microsoft, and regularly teaches practical AI and developer topics through talks and videos.

1 session

Owen Halpert

Owen Halpert

GTM, turbopuffer

Owen Halpert works on GTM at turbopuffer. He previously worked on the GPU-accelerated KNN side of OpenSearch at Amazon and has a Berkeley CS background.

1 session

Daniel Han

Daniel Han

Co-founder, Unsloth

Co-founder of Unsloth. Making open source AI more accessible and local. 300M downloads. 65K GitHub stars. Previously at NVIDIA.

3 sessions

Alex Hancock

Alex Hancock

Software Engineer, Block

Engineer at Block building goose. Maintainer of the Model Context Protocol (MCP) and the Agent Client Protocol (ACP).

1 session

Thorsten Hans

Thorsten Hans

Senior Developer Advocate, Akamai

Thorsten Hans is a Senior Developer Advocate at Akamai focused on emerging cloud technologies, WebAssembly, Spin and edge-native AI. He is also a Docker Captain who shares experiments and practical guidance with developer communities.

1 session

Swaroop Chitlur Haridas

Swaroop Chitlur Haridas

DoorDash

1 session

Martin Harrysson

Martin Harrysson

Senior Partner, McKinsey & Company

Leader of McKinsey’s Software Product Development practice, called SoftwareX Leads McKinsey’s research on impact of AI and agentic on Software Development Spends the majority of his time serving Software and other Technology clients as well as Financial Services clients on software-related topics

2 sessions

Zain Hasan

Zain Hasan

Staff AI/ML Engineer - DX, Together AI

AI/ML engineer and educator focused on large-scale models, tooling, and developer education.

1 session

George He

George He

Head of Platform Engineering, LlamaIndex

George He leads platform engineering at LlamaIndex, working on document agents, OCR, retrieval, and infrastructure for connecting enterprise data to LLM applications.

1 session

Isabella Kai He

Isabella Kai He

Member of Technical Staff, Anthropic

Member of Technical Staff on the Applied AI team at Anthropic, building at the intersection of product, research, and our customers. Previously studied at Stanford and worked at D.E. Shaw and SGNL.ai.

1 session

Nick Heiner

Nick Heiner

VP of RL Environments, Surge AI

Nick Heiner is the Head of RL Environments at Surge AI, the post-training company founded and bootstrapped to $1B in revenue by CEO Edwin Chen, where he works directly with top labs to help shape frontier models.

1 session

Micah Hill-Smith

Micah Hill-Smith

CEO, Artificial Analysis

Co-Founder and CEO at Artificial Analysis, the leading independent AI benchmarking company. Artificial Analysis publishes benchmarks and analysis across agents, models, inference providers and hardware. Artificial Analysis maintains widely referenced leaderboards and evaluation frameworks that are regularly cited by frontier AI organizations, including OpenAI, Anthropic, Google, NVIDIA and others.

1 session

Jakub Hojsan

Jakub Hojsan

Exa

1 session

Ben Holmes

Ben Holmes

Dev Rel Lead, Warp

Ben is a software engineer and content creator helping everyone make the world better with code. You may have seen him around the internet with a whiteboard explaining web development concepts and coding agent tips. You also may know him from livestreams on Warp, or as a core maintainer of Astro.build. If you're interested in Markdown, HTML, or Japanese City Pop, go talk to him.

1 session

Charlie Holtz

Charlie Holtz

CEO, Conductor

CEO + Co-Founder, Conductor

1 session

Mingsheng Hong

VP of AI at Ironclad, Ironclad

Mingsheng Hong is a tech entrepreneur and executive specializing in AI and data infrastructure and products, with a Ph.D. in Computer Science from Cornell. He is the VP of AI at Ironclad, where he focuses on building AI-native products and features for legal contracting. Previously he worked in senior engineering leadership roles at Google and Microsoft. He also co-founded Bluesky Data, pioneering AI-driven workload optimization for modern data platforms and exited it through acquisition by Microsoft.

1 session

Sara Hooker

Sara Hooker

CEO, and Co-founder, Adaption

Sara Hooker is a co-founder of Adaption, which builds intelligence that continuously evolves. Sara leads a large team of AI researchers and engineers that build extremely efficient, adaptable systems. Sara Hooker was previously VP of Research at Cohere, a $6.8 billion frontier AI company focused on generative AI for enterprise. Prior to Cohere, she built large systems in computer vision and NLP at Google Deepmind. Her work has been featured in mainstream news outlets including Techcrunch, New York Times, Washington Post, Axios, MIT Technology, The Atlantic. Sara is a frequent expert advisor to AI research and policy initiatives around the world: she is currently on Kaggle's ML Advisory Research Board and serves on the World Economic Forum council on the Future of Artificial Intelligence and the Future of Data Frontiers. She has been listed as one of AI's top 13 innovators by Fortune and one of Time100 Most Influential People in AI.

1 session

Joel Hooks

Joel Hooks

Co-founder; software developer and developer-education entrepreneur, badass.dev / egghead.io

Joel Hooks is a software developer and entrepreneur known for developer education. He co-founded egghead.io and badass.dev, and works on helping creators build high-quality developer education products.

1 session

Dex Horthy

Dex Horthy

Co-Founder, HumanLayer

CEO and Co-Founder at HumanLayer, helping teams solve hard problems in complex codebases without slop. Dex has been building software factories his entire career. Coined the term "context engineering", created the Research/Plan/Implement framework for coding agents, wrote code for Nasa lunar rovers in high school. Enjoyer of tacos and burpees, not necessarily in that order.

1 session

Kevin Hou

Kevin Hou

Engineering Lead @ Antigravity, Google DeepMind

Kevin leads product engineering for Antigravity, Google DeepMind’s agentic IDE. He has spent much of his career in AI, previously Head of Product Engineering at Windsurf and a Tech Lead Manager at Nuro, an autonomous vehicle startup. Kevin enjoys photography, playing basketball, cycling, and woodworking. He studied computer science & ML at Princeton University.

1 session

Saul Howard

Saul Howard

VP Engineering, Anterior

VP Engineering at Anterior building the AI Platform for Healthcare. Previously at Apple Cloud.

1 session

David Hsu

David Hsu

CEO, Retool

David Hsu is the Founder and CEO of Retool, the $3.2B Sequoia-backed governed platform where AI development is fast for builders and safe for business. Under his leadership, Retool helps over 10,000 companies like Amazon, Stripe, Brex, and Orangetheory Fitnessintegrate AI into enterprise-grade applications without sacrificing security or control. David studied philosophy and computer science at the University of Oxford.

1 session

Adam Huda

Adam Huda

Sr Engineering Leader for AI Dev Tools, Uber

Adam is a Senior Engineering Manager at Uber, where he leads the AI Developer Tools team on a mission to supercharge software engineering. Currently obsessed with manifesting ideas with Claude Code, he is a true believer that AI will be the ultimate catalyst for unlocking Starfleet. Before the agentic wave, Adam was a trailblazer in the mobile space. He cut his teeth at Apple as the build engineer for iOS 2.0. From there, he went on to build and launch multiple app startups, including Posterous, and helped shape the early days of Twitter's iOS app. When he’s not busy building the future of developer tools, Adam unplugs outdoors. You can usually find him sailing, making music on his handpan, or shaping the perfect wake for surfing on Lake Tahoe.

1 session

Romain Huet

Romain Huet

Head of Developer Experience, OpenAI

Romain Huet is a French entrepreneur and engineer with a passion for developer platforms. He currently leads Developer Experience at OpenAI, inspiring and supporting founders and builders to integrate AI into their applications, and directing the creation of elegant and powerful tools for all developers. Previously, Romain spent five years at Stripe, leading product management for the developer platform and overseeing global developer relations. Before Stripe, he helped with the relaunch of Twitter’s developer platform and co-founded Jolicloud in Paris, where he developed a cloud-based operating system and the Jolibook, a personal computer.

1 session

Ben Hylak

Ben Hylak

CTO, Raindrop

Ben Hylak is CTO at Raindrop, the monitoring platform for AI agents. He was previously a designer and engineer at Apple and did engineering at SpaceX and Google.

1 session

Anuj Iravane

Anuj Iravane

Head of AI, Anterior

Anuj leads AI at Anterior, building production agents for high-stakes healthcare workflows.

1 session

Paul Klein IV

Paul Klein IV

Founder & CEO, Browserbase

Founder and CEO of Browserbase, a company building browser infrastructure for web automation and AI agents.

1 session

Gus Iwanaga

Gus Iwanaga

General Manager (Product, UX, Eng), commercetools

Gus Iwanaga is founder and GM for mosAIc at commercetools, where he works on agentic commerce. Before commercetools, Gus held senior product roles at Google Shopping, Zalando, and zooplus, building products used by millions of shoppers & merchants across Europe.

1 session

Sait Izmit

Sait Izmit

Principal Product Manager, Snowflake

Sait Izmit is a Principal Product Manager at Snowflake focused on AI solutions for go-to-market teams. He works on enterprise AI platform and agent deployments at scale.

1 session

Ankit Jain

Ankit Jain

Founder & CEO, Aviator

Ankit Jain is a founder and CEO of Aviator, a developer productivity platform used by modern engineering teams to ship AI-generated code at scale — without the review bottlenecks, broken builds, or brittle deployments. He also leads The Hangar, a community of senior engineers and engineering leaders focused on developer experience, and Xoogler, the ex-Google alumni network.

1 session

Harshul Jain

Harshul Jain

Senior Software Engineer - ML/AI, Audible

Harshul Jain is a Senior Software Engineer at Audible (Amazon) who builds ML and LLM infrastructure at scale — AI Search serving 10M users, a feature store processing 100K transactions per second, and LLM serving and evaluation systems powering GenAI in production. He is writing LLM Inference at Scale, a benchmark-driven handbook on GPU memory engineering, attention optimization, and production LLM serving backed by a companion repository that gained 100+ clones in its first week with zero promotion.

2 sessions

Tushar Jain

Tushar Jain

EVP of Engineering, Docker

Tushar Jain is Executive Vice President of Engineering at Docker.

1 session

Stephanie Jarmak

Stephanie Jarmak

Agent Advocate, Sourcegraph

Dr. Stephanie Jarmak is an Agent Advocate, AI engineer, and research scientist building agentic systems for go-to-market, developer tooling, and knowledge infrastructure. She is an OSS maintainer of Gas City and a research affiliate with the NASA search engine SciX, where her work focuses on search relevance, discovery systems, and AI-assisted access to scientific literature. Her recent GTM projects include AccountBot, a Slack-native sales assistant for account research and campaign workflows; GEO, an evaluation suite for understanding how AI systems discover, describe, and recommend products; and mcp-ax, a framework for measuring how usable MCP products are from an agent’s perspective. Previously, Stephanie served as Project Scientist for Planetary Science at SciX and as an astronomer at Southwest Research Institute. She holds a Ph.D. in Physics and brings a research-engineering lens to building AI systems across a variety of domains.

1 session

Matthew Jewkes

Matthew Jewkes

Cofounder & CTO, Standard Cybernetics

Twice exited founder & CTO. Previously SVP AI Transformation at NYSE:CLVT with a focus on biopharma intelligence and scientific data. Built the 1.0 of Signal iOS. What comes next will be marvelous.

1 session

Angela Jiang

Angela Jiang

Head of Product, Claude Platform, Anthropic

Angela Jiang is the Head of Product for the Claude Platform at Anthropic. She leads product for the Claude Platform including model APIs, hyperscaler integrations, agentic infrastructure, and connectivity controls for businesses as well as Anthropic’s own product infrastructure. Before joining Anthropic, she was Head of Product for the API Platform at OpenAI and led embedded payments at Stripe.

1 session

Nan Jiang

MTS, Modal

1 session

Zhengyao Jiang

Zhengyao Jiang

CEO & Cofounder, Weco AI

Cofounder & CEO @WecoAI - automated hill climbing with LLMs. Previously: PhD in ML at UCL

2 sessions

Moritz Johner

Moritz Johner

Staff Engineer, Form3

Staff Engineer at Form3, focused on Kubernetes, security, and platform engineering. One of the creators and maintainers of external-secrets.

1 session

Jared Joselowitz

Jared Joselowitz

AI Research Engineer, Ufonia

Jared Joselowitz is the Lead AI Research Engineer at Ufonia, where Dora (an AI voice agent) makes clinical follow-up calls on the NHS and across US health systems; over 200,000 patient calls delivered, with signed contracts to scale past a million. He builds the evaluation and hazard-analysis stack for clinical voice AI: multi-agent simulation, prompt-optimisation pipelines, and the audit infrastructure that has to hold up when there's a patient on the other end of the call. His research on clinical AI safety and evaluation has been published at ACL, COLM and IWSDS, most recently an LLM judge that matches clinician safety assessments of speech-recognition errors. Originally from Johannesburg, South Africa, Jared studied electrical engineer before completing an MSc in Applied Machine Learning at Imperial College London, where his thesis used inverse reinforcement learning to recover the implicit reward models of RLHF-trained LLMs.

1 session

Ashu Joshi

Ashu Joshi

Director, Business Strategy, Microsoft

Ashu Joshi works on agentic AI platform strategy at Microsoft, with a focus on turning AI platforms into enterprise business capabilities across agent platforms, adoption and go-to-market strategy.

2 sessions

Justin Joyce

Justin Joyce

Principal Sales Operations and Strategy Manager, Cloudflare

Principal Sales Operations and Strategy Manager automating and re-imaging Sales Operation in an Agentic World.

1 session

Prerna Kakkar

Prerna Kakkar

Senior Software Engineer, Google

Prerna Kakkar is TL for Agentic Evaluation for Google Cloud Databases and is an active contributer to Evalbench and MCP Toolbox for Databases.

1 session

Archana Kamath

Archana Kamath

VP of Engineering, Digital Ocean

Archana Kamath is VP of Engineering at DigitalOcean, working across infrastructure, compute, networking, and AI infrastructure. Her DigitalOcean profile content emphasizes customer-centric infrastructure and product engineering for cloud and AI workloads.

1 session

Ashish Kamra

Ashish Kamra

Senior Manager, Software Engineering, Red Hat

Accomplished engineering leader with 15+ years of experience in AI, cloud-native platforms, and infrastructure. Proven track record of building and scaling high-performing teams and delivering significant performance improvements in enterprise AI products. Combines deep technical expertise in AI/ML with strategic vision to drive product innovation and business impact.

1 session

Uday Kanagala

Uday Kanagala

Software Architect, Navan

Uday Kanagala is a Software Architect at Navan with experience in cloud-native distributed systems, microservices, DevOps, and autonomous-agent workflows for production issue resolution and architectural governance.

1 session

Keiji Kanazawa

Keiji Kanazawa

Principal Product Manager, Microsoft

Keiji Kanazawa (@gojira) is a Product Manager in Microsoft Foundry, working on AI inference for Anthropic and OpenAI models. He has a Ph.D. in AI and a career spanning research → engineering → product. Angel investor in YC and AI/ML companies.

2 sessions

Erina Karati

Erina Karati

Former Microsoft, Supercell

Erina Karati builds applied AI systems across generative AI, multi-agent architectures, and production-ready ML pipelines. She recently worked as an AI Engineer at Supercell, where she built modular multi-agent systems and scalable AI infrastructure for real-world interactive environments, with resulting research accepted to the WiML Symposium @ ICML 2026. Previously, Erina spent three years at Microsoft working across large-scale production systems in complex enterprise environments. Her work spanned networking, system reliability, security, and debugging distributed failures at global scale, shaping how she approaches robustness, observability, and reliability in AI systems. She is also the co-founder of MinneDigest, an AI-powered news and podcast platform that won the AI x Journalism Hackathon and secured $10,000 in grant funding. Erina graduated with a Master’s in Computer Science from the University of Minnesota with a 4.0 GPA in May 2026. She is especially interested in combining strong engineering foundations with advanced AI to build meaningful, real-world systems.

1 session

Vasant Kearney

Vasant Kearney

CEO and Founder, Onlay

Vasant Kearney is founder and CEO of Onlay AI, where he builds agentic healthcare revenue-cycle infrastructure across claims, eligibility, attachments, payer follow-up, payment posting, and bank reconciliation. He was previously co-founder and CTO of Retrace, an AI company focused on healthcare automation. Before startups, Vasant was an Assistant Professor of Radiation Oncology Physics at UCSF, completed a medical physics residency there, and earned a PhD in Biomedical Engineering. He mentored radiation oncology residents at UCSF and machine learning students at the University of San Francisco. His scientific work spans a broad range of topics, including generative MRI-to-CT translation, tumor localization, anatomy segmentation, treatment-planning optimization, NVIDIA CUDA programming, and dental disease classification. His work sits at the intersection of healthcare operations, regulated workflows, multimodal AI, and production agent systems.

1 session

Doug Keller

Doug Keller

Senior Staff AI Engineer, SonderMind

Doug is the lead architect of the agent platform powering SonderMind’s GenAI solutions and a core member of the team building Sonder, SonderMind’s mental health coach. With over a decade of full-stack systems experience, Doug brings a systems-first approach to agent architecture, grounding his work in engineering fundamentals while enabling the adaptability required in the rapidly evolving GenAI landscape.

1 session

Jonathan Kelley

Jonathan Kelley

Founder, Dioxus Labs

Jonathan Kelley is the founder of Dioxus Labs, which develops the Dioxus open-source Rust framework for building applications across web, desktop, and mobile.

1 session

Ameya Ketkar

Ameya Ketkar

Software Engineer, Uber Technology Inc.

Software engineer at Uber's Programming Systems Group, his research focus is program analysis, language migrations, large-scale source code mining and accelerating code reviews.

1 session

Rania Khalaf

Rania Khalaf

Chief AI Officer, WSO2

Dr. Rania Khalaf is Chief AI Officer and GM of AI at WSO2, leading the company's AI and Agentic roadmap, including the new Agent Platform. With deep expertise at the intersection of AI, cloud platforms, and enterprise software, Dr. Khalaf has a proven track record of building AI-native products from zero to market and driving company-wide transformations. Previously, she was Chief Information and Data Officer at Inari, a unicorn biotech startup where she built its digital and AI organization through a period of extraordinary growth, delivering deep learning and knowledge graph platforms for gene discovery. She was Director of IBM Research AI Engineering and Distinguished Research Staff Member leading an organization of at the frontier of AI and cloud, driving innovations to product including award-winning Watson products and open-source projects that became industry standards. She holds Bachelor's and Master's degrees from MIT and a PhD from the University of Stuttgart, with technical depth resulting in 90+ publications and over 8,000 citations. Rania serves on academic and industry boards and is a frequent speaker at institutions including MIT, Harvard, Yale, and UC Berkeley.

1 session

Nader Khalil

Nader Khalil

Director of Developer Technology, NVIDIA

Director of Developer Tech at NVIDIA leading Open Source, Agent Marketing, Developer Experience. CEO & co-founder of Brev.dev, which was acquired by NVIDIA in July 2024.

4 sessions

Aditya Khandelwal

Aditya Khandelwal

MTS, Amazon AGI Lab

1 session

Shlok Khemani

Shlok Khemani

Independent Researcher, Independent

Researching memory and personal AI agents

1 session

Ali Khial

Head of AI/ML, G2i

Ali Khial is an engineering leader focused on building AI-native systems that work beyond the demo stage. He currently leads AI/ML at G2i, where he works across frontier AI evaluation, software engineering benchmarks, agentic workflows, and human-data quality systems. His current work centers on the gap between impressive AI prototypes and reliable production systems. He is especially interested in AI evaluation, data quality, tool-using applications, and the engineering practices needed to ship model-powered products in real-world environments.

1 session

Philip Kiely

Philip Kiely

Developer Relations, Baseten

Philip Kiely leads Developer Relations at Baseten. Prior to joining Baseten in 2022, he worked across software engineering and technical writing for a variety of startups. Outside of work, you'll find Philip practicing martial arts, reading a new book, or cheering for his adopted bay area sports teams.

1 session

Daniel Kim

Daniel Kim

Head of Growth, Cerebras

Daniel Kim works on large-scale inference systems at Cerebras, which runs the world's fastest AI inference on the Wafer-Scale Engine (WSE-3), the largest chip ever built. More recently, Daniel has turned to building AI agents that accelerate Cerebras's own hardware and software development. Outside of work, you can find him relaxing in the park, eating spicy noodles, and recently running!

1 session

Midam Kim

Midam Kim

ML Engineer, ServiceNow

Midam Kim is an ML Engineer at ServiceNow, where she builds and evaluates a multilingual voice AI platform spanning a dozen languages. She holds a PhD in Linguistics from Northwestern University and has backgrounds in linguistics, speech science, cognitive science, machine learning, and business. Her work sits at the rare intersection of production ML engineering and speech science—translating decades of linguistic research into the engineering decisions voice AI teams are making right now.

1 session

Harald Kirschner

Harald Kirschner

Principal Product Manager, Microsoft

Harald Kirschner is a Principal Product Manager at Microsoft working on VS Code and GitHub Copilot AI coding experiences for tens of millions of developers. He is active in the VS Code and developer-experience ecosystem and has spoken on agent memory, MCP, and AI coding tools.

2 sessions

Sheilah Kirui

Sheilah Kirui

NVIDIA

1 session

Averi Kitsch

Averi Kitsch

Staff Software Engineer, Google

Averi Kitsch is a Staff Software Engineer at Google dedicated to bridging the gap between raw data and active intelligence. As the engineering lead for the MCP Toolbox, Averi empowers developers to build sophisticated, agentic applications directly on top of their Google Cloud databases. Drawing from a deep background in DevOps—with specific expertise in serverless runtimes and CI/CD—she brings a pragmatic, "builder-first" perspective to AI infrastructure. Her ultimate goal is to ensure the next generation of intelligent applications is as robust and scalable as it is smart.

1 session

Kieran Klaassen

Kieran Klaassen

GM of Cora / Compound Engineering, Every/Cora

Kieran Klaassen is GM of Cora, Every's AI email assistant, shipped solo without writing code by hand. He is the grandfather of compound engineering: AI agents plan, write, review, and test every change; each fix becomes a learning the system reuses, so every unit of work makes the next easier.

1 session

Dru Knox

Dru Knox

Head of Product, Tessl

Dru Knox leads product at Tessl, working on AI-native software development, coding-agent harnesses, specifications and workflows that help teams build reliable software with agents.

1 session

Tomás Hernando Kofman

Tomás Hernando Kofman

CEO & Co-Founder, Not Diamond

Tomás Hernando Kofman is the founder of Not Diamond, the world's most powerful intelligent model router for coding agents. Not Diamond helps engineering teams achieve frontier quality at a fraction of the price by identifying when a prompt requires a more powerful model and when a cheaper one is sufficient. They work with some of the highest volume AI startups and enterprises in the world, including OpenRouter and SAP, and are backed by Jeff Dea, Julien Chaumond, Ion Stoica, and many others.

1 session

Yunmo Koo

Founding Engineer, FriendliAI

Yunmo Koo is a founding engineer at FriendliAI focused on LLM inference optimization, distributed training, multi-cloud systems, and LLMOps. He builds production ML infrastructure for lower latency, better reliability, and improved cost efficiency.

1 session

Nikita Kothari

Nikita Kothari

Senior Member of Technical Staff, Salesforce

Nikita Kothari is a Senior Member of Technical Staff at Salesforce, where she builds AI-driven enterprise solutions that integrate Large Language Models (LLMs), agentic AI, and intelligent automation to enhance personalization, access, and system trust. With over a decade of experience spanning Salesforce, LinkedIn, and Amazon, she has led transformative projects in AI messaging, recommendation systems, and scalable data synchronization frameworks. Nikita holds a Master of Science in Computer Science from The University of Texas at Dallas and is passionate about advancing responsible and practical AI applications for modern enterprise ecosystems.

1 session

Susheem Koul

Susheem Koul

Senior Software Engineer, Microsoft

Senior Software Engineer at Microsoft. Building AI Driven Systems for Commerce at Scale

1 session

Jason Kramberger

Jason Kramberger

Software Engineer, Google

Software Engineer at Google Kubernetes Engine focusing on inference performance

1 session

Kwindla Kramer

Kwindla Kramer

CEO, Daily

Co-founder at Daily. Contributor to Pipecat. ᓚᘏᗢ

2 sessions

Mike Krieger

Mike Krieger

Head of Labs, Anthropic

Mike Krieger leads Anthropic Labs and previously served as Anthropic's Chief Product Officer. He co-founded Instagram and was its CTO, later co-founding Artifact before joining Anthropic.

1 session

Varun Krovvidi

Varun Krovvidi

1 session

Divakar Kumar

Divakar Kumar

Technical Architect, FlyersSoft

Divakar Kumar is a Microsoft MVP in AI and a Microsoft Certified Trainer (MCT), working as a Technical Architect at Flyerssoft. He actively shares his knowledge through blogs, talks, and training sessions, empowering developers to harness the potential of AI in real-world applications.

1 session

Rishab Kumar

Rishab Kumar

Staff Developer Evangelist, Twilio

Rishab Kumar is a Staff Developer Evangelist at Twilio, GitHub Star, Google Developer Expert, and AWS Community Builder who works on developer relations and agentic voice/messaging applications with Twilio and Amazon Bedrock.

1 session

Tejas Kumar

Tejas Kumar

AI Engineer, IBM

Tejas Kumar is an international keynote speaker, best selling author, and host of the developer-loved ConTejas Code podcast with an engineering background spanning 25 years, from design to frontend to backend to devops. Today, Tejas shares talks at large with developer communities worldwide, equipping them to do their best work.

1 session

Dominik Kundel

Dominik Kundel

Developer Experience Lead, OpenAI

Dominik Kundel works on Developer Experience at OpenAI, where he helps builders get the most out of Codex and the OpenAI APIs. His work has spanned the Agents SDK, GPT-OSS, and most recently Codex. Before OpenAI, he led Product & Design for Twilio’s Emerging Tech & Innovation team, working on developer tools and customer-aware AI agents. Dominik has spent more than a decade in developer tools, usually across APIs, CLIs, JavaScript, and strange demos. Outside work, he’s probably tinkering with cocktails, food, photography, or something that should not need JavaScript but somehow does.

2 sessions

Ben Kus

Ben Kus

CTO, Box

Ben Kus is the Chief Technology Officer at Box, where he leads technology and AI strategy to help enterprises securely unlock insights from their unstructured data. Ben’s career spans engineering, product leadership, and startup innovation—including co-founding Subspace (acquired by Box) and being an early employee at BigFix (acquired by IBM), where he later served as Chief Architect of Mobile Security. Ben holds a degree in Computer Science from UC Berkeley.

1 session

Kunal Lanjewar

Kunal Lanjewar

Staff Engineer, Riot Games

Kunal Lanjewar runs tier-zero infrastructure at Riot Games, where he builds and operates production AI agents and backend services that power games like VALORANT and League of Legends. He's the author of Guild, an open-source tool that gives AI agents persistent memory and task coordination across sessions. Previously, he helped scale Sky: Children of the Light to 300M+ downloads and millions of daily active players, and built the backend for its Guinness World Record-holding Aurora concert. His work has been featured at GDC, DataCon LA, and on the MongoDB Podcast. Earlier in his career he also built systems for NASA missions.

1 session

Qianru Lao

Qianru Lao

Member of Technical Staff, OpenAI

Qianru Lao is a Member of Technical Staff on the Inference team at OpenAI, where she works on infrastructure for large-scale model serving. Previously, she contributed to the open-source Delta Lake project at Databricks and worked on distributed storage systems at Alibaba Cloud and infrastructure tooling at Google. She holds degrees in Computational Science and Engineering from Harvard and Computer Science from Sun Yat-sen University.

1 session

Jacob Lauritzen

Jacob Lauritzen

CTO, Legora

CTO at Legora.

1 session

Matt Lawler

Matt Lawler

Forward Deployed Engineer Lead, AssemblyAI

Leads FDE for Onboarding at AssemblyAI, helping teams ship speech-to-text and voice AI to production, from model selection and architecture through deployment and scale.

1 session

James Le

James Le

Head of Developer Experience, TwelveLabs

James Le is currently leading Developer Experience at Twelve Labs, a startup building foundation models for video understanding. Previously, he worked at MLOps startups including Superb AI, Snorkel AI, Weights & Biases, and taught production ML content with Full Stack Deep Learning.

1 session

Josh Leavitt

Josh Leavitt

Sr. Director of AI & Data, Coinbase

Josh Leavitt is Senior Director of Product Management at Coinbase, where he leads AI Platform strategy and innovation. Josh oversees core initiatives aimed at making AI more accessible and secure at Coinbase. Prior to joining Coinbase, he held leadership roles at Amazon Web Services. He is dedicated to building secure, accessible financial infrastructure, focusing on large-scale platform growth.

1 session

Jennifer Lee

Jennifer Lee

Product Lead, Machine Payments & Agentic Commerce, Stripe

Jen Lee is the Product Lead for Stripe’s Machine Payments and Agentic Commerce, building the ecosystem that enables agents, people, and businesses to transact seamlessly with one another. Through Stripe’s Agentic Commerce Suite, she is making it easier for developers to build for and accept payments from agents. Jen has been at Stripe for nearly five years, where she previously launched and led Stripe’s crypto products. Across her work, she has focused on empowering users to benefit from emerging technologies by building new frontier products from 0 to 1.

1 session

Sangwu Lee

Sangwu Lee

AI Lead, Krea.ai

Sangwu Lee is an AI Lead at Krea.ai, working on generative media models and creative AI systems.

1 session

Whitney Lee

Whitney Lee

Senior Technical Advocate, Datadog

Whitney Lee is a creator and systems thinker who explores how observability, AI, and platform engineering connect across the cloud native ecosystem. She brings humor, depth, and clarity to complex technologies while building original frameworks that help others understand how systems fit together. She runs a vibrant YouTube channel, hosts Datadog Illuminated, has delivered 2 KubeCon keynotes, and combines storytelling and technical rigor to illuminate the human side of cloud native engineering.

1 session

Ivan Leo

Ivan Leo

Developer Experience Engineer, Google DeepMind

Ivan Leo works on Developer Experience at Google DeepMind, focusing on making it easier to build on Gemini and on evaluating autonomous agents. He previously worked on action engines for knowledge work at Manus and open-source libraries for structured LLM outputs.

1 session

Elizabeth Fuentes Leone

Elizabeth Fuentes Leone

Developer Advocate, Amazon Web Services

Elizabeth Fuentes Leone is a Developer Advocate at AWS, helping developers build production-ready AI applications. With a background spanning data analytics, machine learning, and developer education, she specializes in making complex AI concepts accessible through hands-on tutorials, open-source projects, and live demos.

2 sessions

Katelyn Lesse

Katelyn Lesse

Head of Engineering, Claude Platform, Anthropic

Katelyn Lesse is the Head of Platform Engineering at Anthropic. She leads engineering for the Claude Platform, including APIs and developer tooling, as well as Anthropic’s product infrastructure. She has experience building and scaling engineering organizations across fintech and developer platforms, with previous leadership roles at Stripe and Betterment.

1 session

Rafael Levi

DevRel, Bright Data

2 sessions

David Levine

David Levine

Founder & CEO, Kiduna Club

David Levine is a technology entrepreneur, systems engineer, and founder who has spent more than three decades building companies at the frontier of major technology shifts, from the early Web and cloud computing to big data, geomatics, blockchain and agentic AI. He is Founder & CEO of Kiduna Club and Founder & President of the Kinship Intelligence Institute, where he is developing technologies, governance frameworks, and legal infrastructure that enable creative people and intelligent agents to collaborate, create value, and coordinate at scale. Previously, Levine founded multiple venture-backed technology companies, including Geostellar, a patented big-data geomatic platform for solar energy, Butterfly.net (later Gamebryo), an early massively-multiplayer gaming platform, and Ultraprise, a B2B whole loan exchange for the secondary market. He has held leadership roles with Solana Labs, Nightwing, and Sewall, and served as the executive director of the National Technology Transfer Center. A graduate of Yale University, Levine has been featured in The New York Times, Wall Street Journal, Fast Company, Forbes, Fox Business News, and other major media. His current work focuses on digital identity, decentralized governance, and building the legal and technical foundations for the emerging agentic economy.

1 session

Brian Lewis

AI Product Lead, Millennium

Brian Lewis is an AI Product Lead at Millennium. His WF26 session draws on evaluating more than 100 AI startups for enterprise adoption and focuses on which AI startups land enterprise contracts.

1 session

Ang Li

Ang Li

CEO, Simular

Ang Li is the CEO and cofounder of Simular, the autonomous computer company. Simular builds the full-stack infrastructure for AI agents that use computers like humans do. It was the first to surpass human-level performance on the OSWorld computer-use benchmark with its open-source Agent S framework, which won Best Paper at the ICLR 2025 Agentic AI Workshop. Simular's flagship product, Sai, is a general-purpose autonomous computer in the cloud that operates any software the way a person does. Ang was formerly a Research Scientist at Google DeepMind, working at the frontier of continual learning, large-scale deep learning, and ML infrastructure. He has published over 50 papers in top AI venues and his work and company have been featured in Forbes, TechCrunch, and VentureBeat. Simular is backed by Felicis and NVentures. His mission: to solve autonomy and enhance lives.

1 session

Bohan Li

Bohan Li

Staff Software Engineer, EliseAi

Bo has over 10 years of experience building real time systems across databases, decentralized finance, self driving cars, and voice AI. He previously worked as an Member of Technical Staff at Cartesia and is currently at EliseAI, building AI Agents for Housing and Healthcare that improve how we live.

1 session

Zixuan Li

Zixuan Li

Head of Z.ai, Z.ai

Head of Z.ai, involved with Z.ai's AI products and GLM model strategy.

1 session

Edo Liberty

Edo Liberty

Founder and Chief Scientist, Pinecone

Edo Liberty is the founder and Chief Scientist of Pinecone. Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 10,000 customers and 1M developers worldwide. Before founding Pinecone, Edo was a Director of Research at AWS and Head of Amazon AI Labs where his team built cutting-edge machine learning algorithms, systems, and services including parts of Amazon SageMaker and OpenSearch. Edo holds a B.Sc in Physics and Computer Science from Tel Aviv University, and a Ph.D. in Computer Science from Yale. As an academic Edo taught at Tel Aviv University and at Princeton and has authored more than 75 papers and patents. His research focused on mathematical foundations of AI, optimization, streaming algorithms, machine learning, numerical linear algebra, and high dimensional data mining.

1 session

Michael Liendo

Michael Liendo

Staff Developer Advocate, Auth0

Michael Liendo is a Staff Developer Advocate at Auth0 who focuses on simplifying complex development topics through written and video tutorials, especially around full-stack SaaS, authentication, and serverless development.

1 session

Du'an Lightfoot

Du'an Lightfoot

Senior AI Engineer, Akamai Technologies

Senior AI Engineer at Akamai Technologies specializing in artificial intelligence and network engineering. Previously served as a Senior Developer Advocate at AWS and is the founder of LabEveryDay.

1 session

Clare Liguori

Clare Liguori

Senior Principal Engineer, Amazon Web Services

Clare Liguori is a Senior Principal Engineer at Amazon Web Services (AWS), where she works on all things agentic AI. She primarily focuses on Kiro and Strands Agents SDK. Clare is also a core maintainer for the Model Context Protocol (MCP) specification.

1 session

Matt Linderman

Matt Linderman

Partner, Technology Practice, McKinsey & Company

Partner in McKinsey's Software & Technology practice. Helping technology leaders build agentic products and transform how organizations build software.

2 sessions

John Lindquist

John Lindquist

Agentic Instructor, egghead.io

John Lindquist currently teaches Codex "Power User" Workshops through https://egghead.io. As a seasoned software engineer, educator, and entrepreneur, he is best known as the co-founder of egghead.io – a premier online learning platform for web developers. With a career spanning two decades, John has built a reputation for creating innovative web applications and empowering countless developers through concise, high-impact video tutorials. He has led engineering teams for high-profile projects (from Disney entertainment sites to HBO's online platform) and traveled the globe as a Developer Evangelist, sharing his expertise at conferences and workshops. John's passion lies in demystifying complex technologies for others: he helped lead the JavaScript community into adopting framework-driven development with his early AngularJS tutorials, and to date he has produced over 500 programming videos covering everything from reactive programming and JavaScript fundamentals to the latest AI developer workflows and technologies. Collaborative and visionary, John continues to inspire developers worldwide by pioneering new ways to teach and embrace the latest development workflows.

3 sessions

Denys Linkov

Denys Linkov

Head of ML, Wisedocs

Head of ML at Wisedocs and Lecturer at the University of Toronto (CSC490 + CSC302). Works on interesting document, data and evals document problems in the healthcare space. Previously built the Voiceflow ML team.

1 session

Geoffrey Litt

Geoffrey Litt

Design Engineer, Notion

Design Engineer at Notion. Building malleable software with AI. Previously research at MIT / Ink & Switch.

1 session

Chang Liu

Chang Liu

Senior Product Manager, Microsoft

Chang Liu is a Senior Product Manager at Microsoft working on Azure AI Foundry evaluation and agent quality tooling, including metrics for quality and safety in agentic applications.

2 sessions

Flora Liu

Flora Liu

Software engineer, Notion

Flora Liu is a software engineer at Notion, where she currently works on building AI-powered systems that help go-to-market teams operate with more precision and scale. Her work focuses on connecting product signals, lifecycle messaging, sales workflows, eligibility, and experimentation into programmable systems that can identify the right next step for users and customers. Before Notion, Flora spent more than five years as a software engineer at Opendoor and previously worked as a software engineer at Next Jump. She studied Computer Science at Tufts University, where she served as a teaching assistant in the Computer Science department.

1 session

Howie Liu

Howie Liu

CEO, Airtable

Howie is the CEO of Airtable, which he co-founded in 2013 with the vision of creating a radically faster and more intuitive way to build useful applications. Since launch, Airtable has gained a groundswell of adoption across a range of customers from small businesses to the world's largest enterprises, with over 500,000 organizations using Airtable's AI-native platform to build applications that fit their workflows. Now counting over half of the Fortune 500 as paid customers, Airtable enables organizations to turn the power of AI into measurable business impact and power mission-critical enterprise use cases. The company recently launched Superagent, a standalone product built on multi-agent coordination that delivers research and analysis through teams of specialized AI agents working in parallel. Headquartered in San Francisco, Airtable has raised $1.36 billion to date and employs over 750 employees.

2 sessions

Jason Liu

Jason Liu

Developer Experience, OpenAI, OpenAI

Jason Liu works on Developer Experience at OpenAI, where he helps developers get more from Codex, the Agents SDK, and the OpenAI API. His work spans developer education, open-source programs, and practical agent workflows. Prior to OpenAI he was the creator of Instructor, and taught developers how to build reliable AI applications.

4 sessions

Jerry Liu

Jerry Liu

CEO, LlamaIndex

Jerry is the co-founder/CEO of LlamaIndex, a company that is building the document infrastructure for AI agents. Before this, he led the ML monitoring team at Robust Intelligence, did self-driving AI research at Uber ATG and worked on recommendation systems at Quora.

1 session

Zach Lloyd

Zach Lloyd

Founder and CEO, Warp

Zach Lloyd is the founder and CEO of Warp, a modern Agentic Development Environment born from the terminal and cloud agent orchestration platform. Previously he led engineering for Google Sheets and the broader Google Docs suite at Google. He now focuses on cloud agent infrastructure and the future of AI‑powered software engineering, helping all developers to deliver great software, quickly and reliably.

1 session

Jason Lopatecki

Jason Lopatecki

CEO, Arize

Jason Lopatecki is co-founder and CEO of Arize AI, an AI & Agent observability and evaluation company. He is a garage-to-IPO executive with an extensive background in building marketing-leading products and businesses that heavily leverage analytics. Prior to Arize, Jason was co-founder and chief innovation officer at TubeMogul where he scaled the business into a public company and eventual acquisition by Adobe. Jason has hands-on knowledge of big data architectures, programmatic advertising systems, distributed systems, and machine learning and data processing architectures. In his free time, Jason tinkers with personal machine learning projects as a hobby, with a special interest in unsupervised learning and deep neural networks. He holds an electrical engineering and computer science degree from UC Berkeley - Go Bears!

1 session

Pedro Lopez

Pedro Lopez

Senior Software Engineer, Airbyte

Pedro S. Lopez is a Senior Software Engineer at Airbyte. His WF26 talk focuses on how Airbyte built its Agent MCP Server and CLI for agent-oriented data integration workflows.

1 session

Rémi Louf

Rémi Louf

CEO, .txt

CEO and co-founder at .txt, building reliable agent infrastructure. Also known for Outlines.

1 session

Christopher Lovejoy

Christopher Lovejoy

Member of Technical Staff, Anthropic

Member of Technical Staff at Anthropic. Previously Anterior, Billions Health, Medical Doctor.

1 session

Jeremiah Lowin

Jeremiah Lowin

Founder & CEO, Prefect

Jeremiah Lowin is the founder and CEO of Prefect and the creator of FastMCP. Prefect builds automation and orchestration tools used by teams working across data, AI, and software infrastructure. A former quantitative researcher, Jeremiah has spent his career designing systems that make complex work observable, dependable, and easier to reason about. Before founding Prefect, he led risk and data initiatives for major investment firms and was a founding member of the Apache Airflow PMC. He now advises companies like Spotify on technology strategy. His current work focuses on the infrastructure beneath AI applications: orchestration, tools, protocols, and the practical details that turn interesting demos into reliable software. Jeremiah holds bachelor's and master's degrees from Harvard University and lives in Washington, DC.

1 session

Jesse Lumarie

Jesse Lumarie

Software Engineer, Figma

Jesse Lumarie is a software engineer building AI tools and integrations at Figma. Prior to Make, Jesse worked on growth initiatives and Figma's first MCP server. He lives in Boulder with his wife Jenna, and three kids Henry, Hayes and Robin.

1 session

Mark Lummus

Mark Lummus

Product Lead, PayPal

Software/product leader with 30+ years of experience spanning product management, software engineering, automation, DevOps, and business development.

1 session

Vlad Luzin

Vlad Luzin

Founder, Band.ai

Vlad Luzin is Founder of Band.ai, working on agent orchestration and deployment patterns for AI systems.

2 sessions

Will Lyon

Will Lyon

Product Manager, Neo4j

William Lyon is a Product Manager for AI Innovation at Neo4j, where he is building graph intelligence for AI agents. He is the author of the book Fullstack GraphQL and has a masters degree in computer science from the University of Montana. You can find him online at lyonwj.com

1 session

Jason Ma

Jason Ma

CTO and co-founder, Dyna Robotics

Co-founder and CTO of Dyna Robotics, a robotics company building general-purpose robots powered by embodied AI foundation models. Previously a research scientist at DeepMind focused on foundation models for robotics.

1 session

Nyah Macklin

Nyah Macklin

Sr. Developer Advocate, Artificial intelligence, Neo4j

Nyah Macklin is a seasoned researcher and speaker on topics around AI, ML, Ethics, Governance, and Responsibility. Nyah serves as a Senior Developer Advocate for Artificial Intelligence at Neo4j, specializing in context engineering, knowledge graphs, and AI-driven developer tooling where Nyah has built high-impact technical communities and led initiatives that advance a critical understanding of AI and its use cases. They are also the Founder & CTO of Afros in AI, a technical community dedicated to showcasing the multifaceted nature of artificial intelligence. Beyond Nyah's technical expertise, Nyah has a background in government leadership and technology policy, having served as Chief of Staff in the U.S. state government, where they helped shape tech-driven legislative initiatives and equity-driven legislation. When not immersed in their work, Nyah cares about empowering, teaching, and tutoring engineers, live-streaming technical deep dives, and building open-source tools that make software more accessible, explainable, and community-driven.

1 session

Kevin Madura

Kevin Madura

Director, Advanced Technology, AlixPartners

Building real-world AI solutions for enterprise clients using DSPy, RLMs, and agent-native architectures. Technologist & expert witness @ AlixPartners.

1 session

Pranav Maheshwari

Pranav Maheshwari

Director of Integrations, Edge And Node

Director of engineering at Edge And Node building financial harness through ampersend.ai

1 session

Kim Maida

Kim Maida

Founding GTM Engineer, Keycard

Kim is the Head of Developer Relations and Founding GTM Engineer working on security for agents at Keycard. Kim's career is rooted in Identity, software engineering, and developer experience strategy. She enjoys teaching, mentoring, and learning from folks in the product technology space and loves to travel, overland, design stickers, and craft miniatures and artisan keycaps.

1 session

Filip Makraduli

Filip Makraduli

Founding Member of Technical Staff, Superlinked

Filip Makraduli is an applied AI researcher and founding ML Developer Relations engineer at Superlinked, where he designs and ships small‑LLM inference systems for search, retrieval, and agents in production. He holds a master’s degree in Biomedical Data Science from Imperial College London. Before Superlinked, Filip worked in machine learning, data science, and developer relations roles across early‑stage AI startups and larger enterprises, building language understanding, retrieval‑augmented generation (RAG), and LLM pipeline tooling while partnering closely with product and platform teams. He is a frequent open‑source contributor, with contributions to kernel libraries, model‑inference providers, and hands‑on demos used by practitioners. Filip is a co‑author of several publications on efficient transformer architectures and inference, including work on faster normalization for LLMs. He is an experienced speaker at meetups and conferences such as AI Engineer Europe and Berlin Buzzwords, sharing practical lessons on efficient transformers, retrieval systems, and embedding inference for production AI teams.

2 sessions

Kay Malcolm

Kay Malcolm

Vice President of Product Management, Oracle AI Database, Oracle

Kay Malcolm is Oracle's Vice President of Product Management for Oracle AI Database. She leads outbound product managers focused on AI and data strategy, customer programs, technical storytelling, and helping customers get value from Oracle technology.

1 session

Ronak Malde

Ronak Malde

Co-Founder and CEO, Trajectory

Co-Founder & CEO of Trajectory. Previously trained SWE-1 at Windsurf, then gemini post-training at DeepMind after acquisition

1 session

Sachin Malhotra

Sachin Malhotra

Member of Technical Staff, Anthropic

Sachin Malhotra is a Member of Technical Staff on the Developer Infrastructure team at Anthropic, where he builds and operates the CI/CD systems underpinning one of the world's largest ML monorepos. His work spans test reliability, CI observability, and—increasingly—the challenge of giving AI agents real write access to production systems, safely. He has spent the past year thinking about what it looks like when developer tooling has to scale with the pace of frontier ML research. Before Anthropic, Sachin held engineering roles at Etsy and Microsoft. He holds an MS in Computer Science from the University of Southern California.

1 session

Tina Manghnani

Tina Manghnani

Product Manager, Microsoft

Tina Manghnani is a Product Manager at Microsoft building the Foundry agents platform and developer tooling for hosting and operationalizing pro-code agents in enterprise systems.

2 sessions

Arunachalam Manikandan

Arunachalam Manikandan

AI Engineer, Co-Founder, University of Minnesota

Arunachalam Manikandan is a Computer Science graduate student and Graduate Research Assistant at the University of Minnesota, where he researches biomedical image segmentation using large vision models.

1 session

Sujee Maniyam

Sujee Maniyam

Developer Advocate, Nebius

Sujee Maniyam is a developer advocate at Nebius with a background in ML, data engineering, technical training, and production inference education.

1 session

Christopher Manning

Christopher Manning

Distinguished Member of Technical Staff, Moonlake AI

Christopher Manning is a Distinguished Member of Technical Staff at Moonlake AI, inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, a senior fellow of the Stanford Institute for Human-Centered Artificial Intelligence (HAI), and a General Partner at AIX Ventures. He served as the Director of the Stanford AI Lab (SAIL) 2018–2025. Chris was a leader in Statistical NLP in the 1990s and 2000s and then a pioneer in deep learning Natural Language Processing (NLP) from 2010, work for which he has received three consecutive ACL Test of Time Awards (for 2013–2015) and the IEEE John von Neumann Medal. He is the most cited NLP researcher in the world, and he was elected to the National Academy of Engineering and the American Academy of Arts and Sciences in 2025.

2 sessions

Kanish Manuja

Kanish Manuja

Principal Software Engineer, Twilio Inc.

Kanish Manuja is a principal AI engineer at Twilio, where he leads production LLM gateway and AI platform systems for enterprise-scale AI applications. His work focuses on building reliable, secure, and observable infrastructure for large language model adoption, including multi-tenant gateways, authentication and authorization, guardrails, audit logging, fallback strategies, and production readiness for GenAI workloads. Kanish has worked across AI platform engineering, conversational intelligence, and distributed systems, helping teams move from experimentation to production-grade LLM deployments. He has led efforts around LLM reliability, governance, tenant isolation, provider abstraction, and operational controls for high-scale customer-facing systems. In this session, Kanish will share practical lessons from designing and operating LLM gateway systems in production, including architectural tradeoffs, failure modes, platform boundaries, and what teams should consider before standardizing LLM access across an organization.

1 session

Ryan Marten

Member of Technical Staff, Laude Institute

Ryan Marten is building Harbor at the Laude Institute and works on research-to-production efforts including Harbor, Terminal-Bench, and OpenThoughts-Agent.

1 session

Lance Martin

Lance Martin

Member of Technical Staff, Anthropic

Member of technical staff at Anthropic. Working on the Claude Platform, including Claude Managed Agents and the claude-api skill in Claude Code. Prior to Anthropic, was one of the early team at LangChain. Prior to LangChain, spent several years focused on vision for self-driving cars (Uber ATG, Ike, Nuro) and got a PhD from Stanford.

1 session

Gabriel Martinez

Gabriel Martinez

Engineering Manager, G2i

1 session

Ignacio Martinez

Ignacio Martinez

AI Developer Advocate, Oracle

AI Developer Advocate at Oracle focused on AI agent memory and generative AI; contributor to the Oracle AI Agent Memory package and co-author of the Agent Memory course.

1 session

John McBride

John McBride

Co-Founder, CTO, Paper Compute Co.

John McBride is an engineering leader, writer, and podcast host. He is Co-Founder, CTO at Paper Copmute Co. where he's heading up new AI and infrastructure development. He has previously worked on MCP/AI gateway infra at Zuplo, AI infrastructure at the Linux Foundation, AI/ML community tooling at OpenSauced, Linux based operating systems at AWS, Kubernetes products at VMware, and the Cloud Foundry platform at Pivotal. He has years of experience building complex, distributed software systems in a number of languages and frameworks, has scaled huge AI infrastructure systems, and rallied organizations to adopt cutting edge technologies.

1 session

Keegan McCallum

Keegan McCallum

Founder, uRun

Founder of uRun, build the inference cloud for the interactive era of AI. Formerly Head of ML Infrastructure at Luma, built Video model serving for Dream Machine from scratch after pivot to generative video. Obsessed with the intersection of creativity and technology.

1 session

Robert McHardy

Robert McHardy

Pre-training Lead, poolside

Team and tech lead for pre-training at poolside, where he trains large language models for code. Recently led the pre-training of Laguna XS.2 and M.1, poolside's first two public open-weight models. Before that, Robert worked as a Senior Researcher at AssemblyAI where he trained multilingual speech models, and previously built AI for cancer and infectious-disease research at InstaDeep and BioNTech's joint lab. MSc in Machine Learning from UCL.

1 session

Uday Kiran Medisetty

Uday Kiran Medisetty

Distinguished Engineer, Uber

Uday Kiran Medisetty is a Distinguished Engineer at Uber, where he leads engineering efforts spanning Agentic AI experiences across first-party and third-party surfaces, and GenAI initiatives for engineering productivity (agentic coding, AI debugging, code reviews, and large-scale refactoring). He also co-leads the company-wide engineering community shaping Uber's architecture, culture, and standards. Over 11+ years at Uber, Uday has led some of the company's largest technical undertakings, including the ground-up rebuild of the Fulfillment Platform that powers billions of daily transactions across Mobility and Delivery, and the Earner multi-gig platform supporting diverse earning opportunities globally. Earlier, he was a Staff Engineer at VMware, building next-generation API infrastructure used across the company's product lines. He holds an MS in Computer Science from Georgia Tech and a BS from BITS Pilani, India.

1 session

Derek Meegan

Derek Meegan

Software Engineer, Browserbase

Derek Meegan is a software engineer at Browserbase. He builds systems and browser automation tooling, and writes about browser automation, Stagehand, and how technology changes the way people work.

1 session

Leo Mehr

Leo Mehr

Director of Engineering, Ramp

Leo is a Director of Engineering at Ramp, where he's built the Forward Deployed Engineering function (ramp.com/fde) and also makes Ramp usable by agents (agents.ramp.com). He previously was co-founder and head of eng at cybersecurity startup Lumos (backed by a16z and Neo). Leo completed an MS in CS at Stanford and lives in SF.

1 session

Erik Meijer

Erik Meijer

Research Scholar, Leibniz Labs

Erik Meijer has spent more than three decades designing programming languages and developer tools that help humans express intent more clearly to machines. His work has influenced languages and technologies including Haskell, Mondrian, Cω, C#, Visual Basic, Dart, Hack, LINQ, and Rx. Today, he is building Universalis, the world's first programming language for AI agents. By combining formal verification with large language models, Universalis aims to make agentic systems safe, transparent, and trustworthy enough for real-world knowledge work.

1 session

Cody Menefee

Cody Menefee

Success Engineer, Firecrawl

Success Engineer at Firecrawl, focused on making Firecrawl the default web access layer for agents. Creator of OpenPasture, an open-source project applying AI to pasture-based agriculture and helping farmers raise more animals on grass. Mission: better tools for farmers, better lives for animals, better food for people.

1 session

Gabriel Jorge Menezes

Gabriel Jorge Menezes

Core Infrastructure Engineer, Krea.ai

Infrastructure and performance engineer at Krea. creating, managing and improving infrastructure for trainings and inference.

1 session

Udi Menkes

Udi Menkes

Principal Product Manager, Intuit

Udi Menkes is a Principal AI Product Manager at Intuit, where he leads the development of custom financial LLMs and agentic AI systems that turn Intuit's proprietary data and financial domain expertise into experiences delivering real value to 100M+ customers across QuickBooks, TurboTax. Credit Karma, and Mailchimp. He has spent 15+ years building AI that touches money — patented financial crime AI at ThetaRay for banks including Citi, Santander, and OCBC, and conversational and revenue-optimization AI at OpenWeb for 120M+ monthly users. Udi runs GenAI PM (genaipm.com), an AI agent that scans X, LinkedIn, YouTube, GitHub, and 200+ AI and PM blogs daily and delivers a 7-minute, high-signal brief to 5,500+ AI Product teams and builders at Google, OpenAI, NVIDIA, Meta, Amazon, Microsoft, and more.

1 session

Natalie Meurer

Natalie Meurer

Head of Agent Engineering, Sierra

Head of Agent Engineering at Sierra, leading teams that design, build, and deploy AI agents for enterprise customer experiences.

1 session

Hassan El Mghari

Hassan El Mghari

Director of Developer Experience, Together AI

Leading Developer Experience at Together AI. Educating developers on AI & building open source AI apps. Based in New York.

1 session

Yoni Michael

Yoni Michael

Co-Founder, typedef

Yoni Michael is the co-founder of Typedef, a company building the data context layer for AI agents working across modern data stacks. Typedef analyzes transformation code, lineage, schemas, metrics, and usage patterns to help agents reason safely about complex data systems. Yoni has spent more than a decade building infrastructure and data platforms at the intersection of data and AI. Prior to Typedef, he led infrastructure engineering teams at Tecton and Salesforce. He previously co-founded Coolan, a data center analytics company acquired by Salesforce.

1 session

Dustin Mihalik

Dustin Mihalik

Technical Fellow, Indeed

Dustin is a Technical Fellow at Indeed, where he leads the AI Platform powering all of Indeed's production AI products. He has spent years building the foundational infrastructure that enables engineering teams to develop, deploy, and scale AI applications across the company — from early prototypes to high-throughput production systems.

1 session

Roberto Milev

Roberto Milev

Chief Architect, Navan

Roberto Milev is Chief Architect at Navan, where he leads AI architecture across 120+ microservices and 20 engineering teams. His work on autonomous agent systems has been published at ACM CAIS 2026, and he has presented at OpenAI and the UnLock conference on AI architecture topics.

1 session

Isaac Miller

Isaac Miller

Lead Maintainer of DSPy; Co-Founder, cmpnd

Lead Maintainer of DSPy. Co-Founder at cmpnd. Building an OSS Framework to help you create self-improving, modular AI systems.

1 session

Yogendra Miraje

Yogendra Miraje

Principal AI Engineer, FactSet

Principal AI Engineer in FactSet Research Systems. Building Agentic Systems grounded in Financial data.

1 session

Gaurav Mishra

Gaurav Mishra

Amazon AGI Lab

1 session

Kyle Mistele

Kyle Mistele

CTO, HumanLayer

Recovering Red-Team security engineer & ATM hacker, now CTO at HumanLayer helping teams escape the vibe slop dopamine casino and ship production grade code with AI. Yaps about distributed systems engineering, real-time sync, virtual filesystems, and the SF pizza scene.

1 session

Joshua Mo

Joshua Mo

Lead DevRel Engineer, Venice AI

Joshua Mo is a Lead DevRel Engineer at Venice.ai focused on private AI infrastructure, developer experience, integrations and Rust-based automation. He previously worked on Rust developer relations and open-source AI tooling.

1 session

Abduallah Mohamed

Abduallah Mohamed

VP of AI/ML, AIDAChip

VP of AI/ML at AIDAChip, building the AI platform for semiconductor IP development, Ex-Meta. Core expertise spans agentic AI & LLM frameworks, multi-modal sensor fusion, tracking, and multi-agent trajectory prediction. PhD @UT Austin.

1 session

Jay Mok

Jay Mok

PayPal

1 session

Ari Morcos

Ari Morcos

Co-founder, CEO, DatologyAI

Ari Morcos is co-founder and CEO of DatologyAI, building a self-service data curation platform for AI teams. Prior to founding Datology, Ari spent five years at FAIR (Meta AI), most recently as a Senior Staff Research Scientist, where his research on data curation and self-supervised learning received Outstanding Paper Awards at NeurIPS 2022 ("Beyond neural scaling laws: beating power law scaling via data pruning") and ICLR 2023. Before Meta, he was a Research Scientist at DeepMind, applying tools from neuroscience to understand generalization, representation learning, and the dynamics of training in deep networks. He holds a PhD in Neuroscience from Harvard and a BS in Neuroscience from UC San Diego.

1 session

Jack Morris

Jack Morris

Cofounder, Engram

Jack is a cofounder and head of research at Engram. He received his PhD in 2025 from Cornell University

1 session

Vasuman Moza

Vasuman Moza

Founder & CEO, Varick Agents

Vas Moza is the founder and CEO of Varick Agents, a San Francisco startup transforming enterprise companies with AI. Varick's approach starts with an audit: the team embeds with each customer to map how the business actually works, then ships the agents, integrations, and workflows that take AI from prototype to dependable production. As one part of that mission, Varick is building the AI FDE: an agent that does the work of a forward-deployed engineer - scoping problems, writing and integrating code, and standing up production systems alongside the people who run them. Varick is built on the bet that the hard part of enterprise AI isn't the model - it's deployment, reliability, and trust.

1 session

Salman Munaf

Salman Munaf

Lead Site Reliability Engineer, TikTok

Salman Munaf is a Lead Site Reliability Engineer at TikTok, where he builds and operates large-scale video infrastructure serving millions of users. He specializes in distributed systems, observability, and reliability at scale, with prior experience as a Software Engineer at Meta. Salman is passionate about helping developers embed reliability into their workflows from day one, making complex systems more resilient and easier to operate.

1 session

Mihnea Munteanu

Mihnea Munteanu

Senior Product Lead, YouTube

Senior product leader who specializes in very large scale 0 to 1 consumer product experiences. Led the transformation of YouTube Search from traditional ranking-based systems to AI-native architecture. Drove the 0 to 1 launch for Ask Youtube (Launched @ Google IO '26). Previously at Webflow, Grammarly, McKinsey.

1 session

Vivek Muppalla

Vivek Muppalla

VP AI Engineering, Hippocratic AI

Vivek Raju Muppalla is VP of AI Engineering at Hippocratic AI, where he leads product engineering for healthcare agents powering AI Front Door, Nurse Co-Pilot, and over 200 million patient-agent interactions. His focus is on turning frontier models into clinically safe, production-grade voice agents across real-time orchestration, evaluation, reliability, and patient-facing workflows. Vivek has spent over a decade building applied AI and large-scale production systems across Cohere, Scale AI, Unity Technologies, Amazon, Groupon, and Expedia. His work has spanned GenAI applications, synthetic data, computer vision, simulation, and production ML at scale. At Cohere, as VP of AI Engineering and Custom Models, he launched GenAI products across Fortune 500 enterprises and co-developed Takane, a high-performing Japanese LLM built in partnership with Fujitsu. Throughout his career, Vivek has focused on the hardest part of shipping AI: building systems that are reliable, measurable, and useful in production.

1 session

Anil Nadiminti

Anil Nadiminti

Sr Solutions Architect, Amazon Web Services (AWS)

Anil Nadiminti is a Senior Solutions Architect at AWS, where he supports Enterprise FinTech and Web3 customers in designing secure, scalable, and production-ready cloud architectures. He also specializes in Agentic AI on AWS, advising customers on AI architecture patterns, autonomous workflows, and emerging application design models. His work sits at the intersection of financial services, Web3, and AI, with a focus on helping organizations evaluate new approaches to machine-to-machine commerce and programmable services. He is particularly interested in emerging standards such as x402, which uses HTTP 402 to enable programmatic payments for APIs, services, and AI agents over standard web infrastructure. Through his work with customers, Anil helps bridge technical strategy and practical implementation for next-generation applications on AWS.

1 session

Manoj Nair

Manoj Nair

CTO & Chief Innovation Officer, Snyk

Manoj Nair is Chief Technology Officer and Chief Innovation Officer at Snyk, where he leads the Emerging Technologies and Solutions Office.

2 sessions

Yohei Nakajima

Yohei Nakajima

Managing Partner, Untapped Capital

Yohei Nakajima is a General Partner and co-founder of Untapped Capital, a pre-seed venture fund backing unexpected founders at the earliest stages. He is best known as the creator of BabyAGI, one of the early open-source autonomous agent experiments that helped popularize task-driven AI agents. Yohei’s work sits at the intersection of venture capital, software prototyping, and frontier AI research: he builds tools and experiments to understand where technology is going, then uses those lessons to support founders and shape investment theses. Most recently, Yohei has been developing ActiveGraph, an event-log-native architecture for building agents that are replayable, inspectable, forkable, and capable of continuous improvement. Across investing, writing, demos, and open-source projects, his approach is simple: build to learn, share what works, and help more people understand what AI-native systems make possible.

1 session

Kamalakannan Nandagopal

Staff Software Engineer, Postman

Kamalakannan Nandagopal is a Staff Software Engineer at Postman working on client platform, performance, Node.js and agentic-AI related developer workflows, including Postman's git-native collection format.

1 session

Dhruv Nathawani

Dhruv Nathawani

Research Scientist, Nvidia

Dhruv Nathawani is a Research Scientist at NVIDIA, where he works at the intersection of synthetic data and foundation model alignment. His work focuses on building data-centric methods that improve the reliability, adaptability, and performance of Nemotron foundation models and modern AI systems. Prior to NVIDIA, Dhruv was at Gretel, a synthetic data platform for developers, where he worked on tools for generating high-quality data for AI applications. At Salesforce Research, Apple Maps, and Carnegie Mellon University, Dhruv built AI systems spanning medical multimodal learning, document AI/OCR, satellite computer vision, and fMRI-based cognitive decoding.

1 session

Amit Navindgi

Amit Navindgi

Senior Staff Software Engineer, Zoox

Amit Navindgi is a Senior Staff Software Engineer and AI lead at Zoox, where he founded and leads Zoox Intelligence, a company-wide initiative applying Large Language Models across engineering, operations, customer support, autonomy, and employee productivity. His work combines platform engineering with organizational AI adoption. He architects internal AI platforms, agents, and developer productivity workflows, while also leading AI tool evaluation, rollout strategy, enablement, spend management, and productivity measurement across Zoox. Amit also runs the Zoox Hackathon and The Assembly, a cross-functional forum for knowledge sharing and innovation. Earlier in his career, he built web applications and distributed systems at Veritas Technologies and worked on Natural Language Processing at Xerox Research Centre Europe.

1 session

Dan Ndombe

Dan Ndombe

Staff Developer Success Advocate, Docker

Dan Ndombe is a Staff Developer Success Advocate at Docker who helps developers build and ship software faster. He is a two-time founder and former engineer-turned-product manager with experience at Netflix, Pinterest, and Calm.

1 session

Nnenna Ndukwe

Nnenna Ndukwe

Principal Developer Advocate and Software Engineer, Qodo AI

Principal Developer Advocate and Software Engineer at Qodo AI, with experience across startups, media tech, cybersecurity, and AI. She is an international speaker and community builder focused on making AI practical and accessible for engineers.

1 session

Joseph Nelson

Joseph Nelson

Cofounder, CEO, Roboflow

Joseph is cofounder/CEO at Roboflow, the vision AI company. Roboflow makes infrastructure millions of AI engineers including half the Fortune 100 use to create and deploy vision models in the cloud and on the edge. They are the authors of RF-DETR, SOTA realtime instance segmentation and detection transformers. Roboflow's backed by investors like YC, GV (fmr Google Ventures), Greg Brockman, Jeff Dean, amongst others.

3 sessions

Jeff Ng

Engineer, Unblocked

Jeffrey Ng is an engineer at Unblocked, a company building a context engine for software teams and AI agents.

1 session

Dat Ngo

Dat Ngo

AI Architect, Arize AI

Dat Ngo is an AI Architect at Arize AI focused on agent harnesses, evaluation, observability, and scalable LLM-evaluation pipelines for production AI systems.

1 session

Michelle Nguyen

Michelle Nguyen

Co-Founder, Gimlet Labs

Michelle Nguyen is cofounder of Gimlet Labs, the first multi-silicon inference cloud to run agentic workloads across different types of hardware, where she leads engineering. She was the first engineer at Pixie Labs where she worked across the stack on projects ranging from Pixie's deployment mechanisms to its distributed query engine. Before Pixie, Michelle was at Trifacta helping build intuitive and interactive UIs. Michelle holds a MS and BS in EECS from UC Berkeley.

1 session

Hossein Niazmandi

Hossein Niazmandi

Solutions, Braintrust

Hossein Niazmandi works on Solutions at Braintrust, with prior experience at Databricks and Salesforce. His WF26 session focuses on why building agent quality platforms is hard.

1 session

Nick Nisi

Nick Nisi

Developer Experience Engineer, WorkOS

Developer Experience Engineer at WorkOS focused on developer tooling and TypeScript; previously co-hosted JS Party and organizes NebraskaJS and TypeScript community events.

1 session

Merve Noyan

Merve Noyan

MLE, Hugging Face

Works at Hugging Face open-source team, author of the book Vision Language Models with Hugging Face published by O'Reilly.

3 sessions

Arturo Nunez

Arturo Nunez

Founder, Nereu

Arturo is the founder of Nereu, an AI-native game engine that lets anyone build their game. Previously at MongoDB and Unity.

1 session

Kevin Orellana

Kevin Orellana

Software Engineer, Amazon Web Services

Kevin Orellana is a software engineer at AWS, where he builds the sandboxed code-execution and browser-automation infrastructure that lets AI agents — including coding agents — run code and drive websites safely at scale. He previously worked on Amazon Bedrock's model-serving platform, where he tech-led the launch of Anthropic's Claude Sonnet on Bedrock and helped design the infrastructure behind several frontier-model launches.

1 session

Andrew Orobator

Andrew Orobator

Senior Software Engineer, Reddit

Andrew Orobator is a senior Android engineer at Reddit and the author of the Vibe Engineering series, a ten-part methodology for AI-assisted software development covering personas, reusable skills, worklogs, agent workflows, and self-driving codebases. He co-authored the series with Claude using the same practices it describes, treating AI not as a autocomplete layer but as a collaborative engineering system with memory, process, and taste. Andrew has spent over a decade building Android products at scale, with experience across consumer apps, developer tooling, and mobile architecture. His current work explores how AI agents can move from ad hoc prompting into durable engineering infrastructure: systems that preserve context, improve through feedback loops, and help teams ship better software with less coordination drag. At AI Engineer World’s Fair, he brings a practitioner’s view of what it takes to make AI-assisted development feel less magical, more reliable, and actually useful.

1 session

Ahmad Osman

Ahmad Osman

Founder & CEO, Osmantic

Ahmad M. Osman is an AI researcher, systems engineer, and moderator of r/LocalLLaMA, where he helps a fast-growing community make local AI practical. A lifelong builder, he started coding at age 7, and by age 12 was running a private C++ MMORPG server from a Pentium 4 desktop. Today, Ahmad’s work sits at the intersection of LLMs, inference, hardware, infrastructure, and full-stack ownership. He holds dual degrees in Computer Science and Data Science, and is a prominent voice in modern AI infrastructure and self-hosted artificial intelligence. When not on stage, Ahmad can be found building Osmantic, his sovereign AI lab, where he serves as Founder and CEO.

5 sessions

Addy Osmani

Addy Osmani

Director of Engineering, Independent

Engineering and evangelism leader who spent over 14 years at Google leading developer experience for Chrome and Gemini.

1 session

Nicolai Ouporov

CEO, Fleet

Nicolai Ouporov is founder and CEO of Fleet, an applied AI and product lab building simulations and real-world challenges for testing and training agents. He previously was a founding engineer and first hire at Respell and has Stanford robotics research experience.

1 session

John Ousterhout

John Ousterhout

Professor Emeritus, Stanford University

John Ousterhout is the Bosack Lerner Professor of Computer Science, Emeritus at Stanford University. His prior positions include 14 years in industry, where he founded two companies (Scriptics and Electric Cloud), preceded by 14 years as Professor of Computer Science at U.C. Berkeley. He is author of the book "A Philosophy of Software Design", co-creator of the Raft consensus protocol, and creator of the Tcl scripting language and the Tk toolkit. He is a member of the National Academy of Engineering and has received numerous awards, including the ACM Software System Award, the ACM Grace Murray Hopper Award, and the U.C. Berkeley Distinguished Teaching Award.

1 session

Tom Ouyang

Tom Ouyang

Principal Engineer, Google DeepMind

Tom Ouyang is a Principal Engineer at Google DeepMind, where he works on research and development for Gemini Audio, focusing on real-time capabilities like natural dialog, streaming translation, and audio understanding. Previously, he spent five years as a Principal Software Engineer at Waymo, developing machine learning models for autonomous vehicle perception. Prior to Waymo, Tom spent over six years at Google working in the area of mobile text entry and language modeling. He holds a PhD in computer science from the Massachusetts Institute of Technology.

1 session

Lucas Palma

Lucas Palma

Information Security Manager, Nubank

Lucas Palma is an Information Security Manager at Nubank, one of the world’s largest digital financial services platforms, where he leads Product Security across Application Security, Mobile Security, AI Security, and Product Security Engineering. He works at the intersection of software engineering, product security, and AI, helping teams adopt AI safely without slowing down product development. His current work focuses on securing AI adoption at enterprise scale, including AI coding assistants, agentic workflows, MCP integrations, secure coding guidance, AI security tooling, and automated security review inside developer workflows. He has more than 15 years of experience in information security, software engineering, and financial services, with work ranging from building security programs from scratch to reducing banking malware incidents by 90 percent through layered mobile protections. Lucas is passionate about making security practical for engineers by turning real attack patterns into guardrails, automation, evaluations, and tools that help teams ship faster and safer.

1 session

Ritvik Pandya

Ritvik Pandya

Engineering Manager, JP Morgan Chase

Ritvik Pandya is an engineering leader with over seventeen years building distributed systems and large-scale payment infrastructure, currently at JPMorgan Chase, with prior experience at other leading technology companies. He works at the intersection of platform engineering, observability, and reliability — designing high-throughput systems that stay dependable under real-world load. He writes and speaks on building dependable systems at scale, and is a member of the IEEE Consumer Technology Society.

1 session

Varun Pant

Varun Pant

Builder, NeuroSymbolic AI, AWS

Builds AI products at AWS, currently neurosymbolic AI.

1 session

Nachiket Paranjape

Nachiket Paranjape

Software Engineer, DoorDash

Software Engineer at DoorDash's AI Platform Team. Currently leading the AI Evals initiative. Previously Engineering Lead at Galileo AI (acquired by Cisco).

1 session

Sam Parsons

Sam Parsons

Senior Staff Software Engineer and Tech Lead, PayPal Braintree

Sam Parsons is a Senior Staff Software Engineer and Tech Lead at PayPal Braintree. His current team builds Payments Orchestration, and he has more than 15 years of experience building critical fintech, travel, higher-education, and government software systems.

1 session

Deepak Pathak

Deepak Pathak

Co-Founder & CEO, Skild AI

Co-Founder and CEO of Skild AI; Assistant Professor at Carnegie Mellon University in the Robotics Institute, affiliated with the Machine Learning Department.

1 session

Navinkumar Patil

Navinkumar Patil

Staff Software Engineer, PayPal

Engineer focused on large-scale and distributed systems.

1 session

Michael Patterson

Michael Patterson

Coder

1 session

Lukas Petersson

Lukas Petersson

Co-Founder, Andon Labs

Lukas Petersson is co-founder of Andon Labs, testing AIs in the real world. Andon OS is our stack for letting AI agents run businesses safely without any humans in the loop. Today, we operate vending machines, retail stores, cafés, embroidery and software companies, but the list grows every day. Andon partners with all four frontier AI labs (Anthropic, OpenAI, Google, xAI) to test their AI models in real-world scenarios; its Project Vend collaboration with Anthropic was covered by WSJ, Time, and 60 Minutes, and its Vending-Bench benchmark runs at every major model release.

1 session

Marina Petzel

Marina Petzel

1 session

Carole Robin, Ph.D.

Carole Robin, Ph.D.

Co-Founder, Leaders in Tech

Carole Robin, Ph.D. is Co-Founder and Head of Programs at Leaders in Tech, a former Stanford Graduate School of Business lecturer in leadership, and co-author of Connect.

1 session

Priyanka Phatak

Priyanka Phatak

Member of Technical Staff, Anthropic

Priyanka Phatak leads the Claude Managed Agents team at Anthropic, building the systems that let developers run reliable, production-grade autonomous agents on Claude. In her two years at Anthropic she's worn several EM hats — spinning up Apps Platform, Public Sector Engineering, and Product Infrastructure along the way. Previously, she was Director of Engineering at Lyft, where she ran the Transit, Bikes & Scooters engineering org, and earlier built products at Yammer.

4 sessions

Mike Phipps

Mike Phipps

Lead AI Engineer, Gates Foundation

Mike is the lead AI engineer in business operations at the Gates Foundation, where he built and deployed SIP (Strategic Intelligence Platform), the foundation's enterprise-wide knowledge graph. Built on Neo4j and served to Claude through MCP, SIP unifies siloed structured records and unstructured documents into one semantic layer that agents can query directly. Before AI engineering, he earned his PhD at CERN in experimental high-energy nuclear physics, working with some of the largest datasets in science. His work now centers on AI-first data modeling, driven by the conviction that for most enterprise teams the durable moat comes from properly modeling and expressing their data assets and domain knowledge — not the commoditizing layers above.

1 session

Willem Pienaar

Willem Pienaar

Co-founder and CTO, Cleric

Willem Pienaar is co-founder and CTO of Cleric, where he is building an autonomous AI SRE. He is also the creator of Feast and has worked on MLOps and open-source tooling.

1 session

Maximillian Piras

Maximillian Piras

Founding Designer, Yutori

Currently focused on UIUX for agentic AI as the Founding Designer at Yutori. Previously Head of Design at Headliner and Sr. Designer at 8tracks, leading cross-platform UIUX for millions of users. Additionally, developed graphics/animations for clients including Giphy, MIT, & Ryuichi Sakamoto while also being a contributing writer to Smashing Magazine.

1 session

Leo Platzer

Founder, Deasy Labs / Collibra

Leo Platzer co-founded Deasy Labs, a company focused on making unstructured enterprise content more accessible and AI-ready, which was acquired by Collibra.

1 session

Andreea Pleşea

Andreea Pleşea

Co-Founder and COO, Druid AI

Andreea Pleşea is Co-Founder and COO of Druid AI, where she helps design and scale enterprise agentic AI systems. She has a technical background including a PhD in artificial intelligence, with work focused on AI agent communication and autonomous agent interoperability.

1 session

Ajay Prakash

Ajay Prakash

Senior Staff Software Engineer, Linkedin

Ajay is a software engineer at LinkedIn with 14 years of experience in software, building large-scale systems and AI. For the past four years, his work has shifted fully into AI: LLMs, prompt engineering, context engineering, and AI agents. He previously led AI platform and product initiatives for LinkedIn Sales Navigator. Over the past year, he's led efforts to improve the effectiveness of coding agents by connecting them to LinkedIn's internal tools and context, making them genuinely useful inside a large engineering organization. He now leads AI agent platform efforts at LinkedIn, the most interesting work of his career so far.

1 session

Omer Primor

Bright Data

1 session

Ahnaf Prio

Ahnaf Prio

Senior Engineering Manager, Best Buy

Senior Engineering Manager at Best Buy building next-gen, AI-driven retail experiences at scale. Previously a 2x startup co-founder and CTO. Active community leader.

1 session

Zack Proser

Zack Proser

AI Engineer, Applied AI, WorkOS

AI engineer working on Applied AI at WorkOS; previously led Developer Education at WorkOS and has earlier experience at Pinecone, Gruntwork, and Cloudflare.

1 session

Greg Pstrucha

Greg Pstrucha

Sentry

1 session

Andrew Qu

Andrew Qu

Chief of Software, Vercel

Andrew is the Chief of Software at Vercel, where he leads the company's agent initiatives across product, infrastructure, and internal tooling in the Office of the CTO. He's the creator of skills.sh, the most popular way to discover and install new agent skills, and is building "an agent on every desk" inside Vercel. The most prominent so far is a data science agent that fields 2,000+ questions a day from Vercelians across engineering, finance, and go-to-market. Before Vercel, Andrew founded a Series B AI sales-tech company, and has worked at Meta and early-stage startups alike.

1 session

Dean Quiñanola

Staff Software Engineer, App Eng Manager, Runpod

Dean Quiñanola is a Staff Software Engineer and application engineering manager at Runpod, working on developer-facing infrastructure for quickly deploying AI applications.

1 session

Shafik Quoraishee

Shafik Quoraishee

Staff Engineer, The New York Times

Shafik Quoraishee is a Staff Games Engineer, published writer, illustrator, and artificial intelligence researcher at The New York Times. With over a decade of experience in mobile development, he plays a key role in building and integrating the Times's highly popular digital puzzles into the Android ecosystem. Outside of game engineering, Quoraishee is a practitioner specializing in computer vision, neural networks, and accessibility. He has spearheaded experimental projects, such as designing on-device handwriting recognition for crosswords. His machine learning research has been deployed across real-world civilian and government systems and featured in publications like Towards Data Science and Nieman Lab. Before his tenure at The New York Times, he engineered mobile and data systems for major media and sports brands, including the National Basketball Association (NBA) and Business Insider.

1 session

Yves Raimond

Yves Raimond

SVP/GM, AI & Personalization, Spotify

Senior leader for AI and personalization at Spotify.

1 session

Shreya Rajpal

Shreya Rajpal

CEO, Snowglobe

Shreya Rajpal is CEO of Snowglobe and co-founder/CEO of Guardrails AI. She created the open-source Guardrails framework and works on tools for validating LLM outputs, preventing hallucinations, detecting policy risks, and generating simulation-based evaluation datasets.

1 session

Nilofer Rajpurkar

Nilofer Rajpurkar

Product Lead, Agent and Developer Experience, Stripe

Nilofer Rajpurkar is a Product Lead at Stripe, where she leads teams building tools and infrastructure for developers and AI agents, including the Stripe MCP Server, Stripe CLI, Docs, and Sandboxes. Her work sits at the intersection of developer tooling, AI, and the emerging agent economy — she is particularly interested in how agents are changing the way software is built and how humans and agents transact online. Throughout her career, Nilofer has focused on platforms and tooling that enable developers to create and scale their products. Prior to Stripe, she worked at GitHub on GitHub Actions and GitHub Packages, and at Microsoft on mobile developer tools. Beyond technology, Nilofer has served as an NYC[x] Innovation Fellow with U.S. Digital Response, volunteered as a computer science teacher with TEALS, and served on the Seattle Arts Commission and the Coca-Cola Scholars Foundation Alumni Board."

1 session

Yohan Raju

Yohan Raju

Pre-Sales Expert, Bright Data

Yohan Raju is a solutions engineer and pre-sales specialist at Bright Data with experience in custom solutions, client success and real-time web data workflows.

1 session

Sai Krishna Rallabandi

Sai Krishna Rallabandi

Director, Data Science, Fidelity Investments

Sai Krishna Rallabandi is Director, Data Science at Fidelity Investments, where he leads applied LLM and AI-agent work. He has been awarded Meta fellowship for his PhD in Computer Science from Carnegie Mellon University. His applied work has taken first place at multiple Finance for NLP challenges over the past 4 years. His research spans speech and language processing with a focus on financial data.

1 session

Karthik Ranganathan

Karthik Ranganathan

Co-founder and Co-CEO, Yugabyte

Karthik Ranganathan is co-founder and co-CEO of Yugabyte, the company behind YugabyteDB. He was one of the original database engineers at Facebook/Meta working on distributed databases including Cassandra and HBase.

1 session

Brendan Rappazzo

Brendan Rappazzo

Machine Learning Scientist, Morgan Stanley

ML Research Scientist at Morgan Stanley working on LLM post-training and building agentic workflows. PhD from Cornell. Shares fun experiments on GitHub and X (@brendanh0gan)

2 sessions

Wolfram Ravenwolf

Wolfram Ravenwolf

AI Evangelist, Weights & Biases by CoreWeave

Wolfram Ravenwolf is an AI Evangelist at CoreWeave / Weights & Biases, where he helps builders evaluate, debug, and ship useful AI systems. He works across model evaluation, agent tooling, inference infrastructure, and developer education, translating hands-on engineering work into practical guidance for teams adopting frontier AI. Wolfram is the creator of WolfBench, a five-metric framework for evaluating agent performance based on Terminal-Bench 2.0, and regularly tests new models, coding agents, and evaluation workflows in real-world conditions. He is also a ThursdAI co-host, speaker, writer, and longtime AI community builder. Before joining CoreWeave/W&B, he worked as an engineer, researcher, and consultant focused on making complex technology usable. His talks are practical, opinionated, and grounded in live experimentation: fewer buzzwords, more working systems.

1 session

Jetashree Ravi

Jetashree Ravi

Tech Lead Manager, Fireworks AI

Jetashree Ravi is a Tech Lead Manager on Fireworks AI's Applied Machine Learning team, focused on LLMs, high-performance GPU inference, fine-tuning, developer platforms, and making production AI systems reliable at scale.

1 session

Akele Reed

Akele Reed

Principal AI Engineer, Sondermind

Principal AI Engineer at SonderMind, Akele Reed leads the team behind the company's conversational AI mental health feature and has served as a primary architect of its guardrails and evaluations framework. Her work sits at the intersection of AI capability and responsibility, designing systems that earn trust through rigorous safety pipelines, human expert feedback loops, and continuous oversight in one of the highest-stakes domains in healthcare. Akele is passionate about making AI trustworthy not just in theory, but in production and building the infrastructure and culture that allow engineers and clinicians alike to confidently rely on AI-powered tools. She brings over nine years of experience in applied AI and model training, including her previous role at 23andMe, and holds a Master's degree in Computer Science from Georgia Tech. Away from the screens, she enjoys hiking, beekeeping, and baking.

1 session

Sunny Rekhi

FDE CTO, Decagon

Sunny Rekhi is FDE CTO at Decagon and speaks about how forward deployed engineering is done at Decagon.

1 session

Justin Reock

Justin Reock

Deputy CTO, DX

Justin Reock is Deputy CTO at DX, where he works on engineering intelligence and software-development productivity. His AI Engineer talks focus on trends in AI-assisted engineering across hundreds of organizations.

2 sessions

Dave Revere

Dave Revere

Staff AI Engineer, SonderMind

Staff AI Engineer at SonderMind specializing in eval and guardrail pipelines for mental health AI. Dave builds the safety infrastructure behind SonderMind's AI products, including the clinical feedback loop that turns therapist annotations into automated regression tests and the modular guardrails system that evaluates every agent response before it reaches a user. He's passionate about making high-stakes AI systems safe enough to ship fast and rigorous enough to earn clinical trust.

1 session

Eno Reyes

Eno Reyes

CTO & Co-Founder, Factory

CTO and Co-Founder of Factory, focused on autonomous software engineering agents for enterprise teams. Previously worked in machine learning and software engineering roles including Hugging Face and Microsoft.

1 session

Maxime Rivest

Maxime Rivest

Core Contributor, DSPy

Maxime builds tools and create content that make LLMs more accessible and powerful for everyone. He is a core contributor to DSPy and has built numerous open-source Python libraries to advance the ecosystem, including attachments, functai, ovllm, dspy-lm-auth, dspy-template-adapter, and mcp2py. Previously, he worked at Elsevier, building AI infrastructure and compound AI programs to cost effectively run on 100 million records weekly.

1 session

Saoud Rizwan

Saoud Rizwan

Founder & CEO, Cline

Founder and CEO of Cline, an open-source AI coding agent for software development workflows.

1 session

Lee Robinson

Lee Robinson

ML, Model Behavior, Cursor

Model research and personality at Cursor. Previously Vercel.

1 session

Niels Rogge

Niels Rogge

Machine Learning Engineer, Hugging Face

Niels works as a Machine Learning Engineer at Hugging Face as part of the Community Science team. Together with @_akhaliq (also known as AK), which you might know from posting trending research papers, he ensures researchers improve the discoverability and visibility of their artifacts by making them available on the hub with proper links to the paper, write model and dataset cards and more.

1 session

Uri Rolls

Uri Rolls

CEO, Arithmetic

Uri Rolls is Co-Founder and CEO of Arithmetic, an AI data company building cyber worlds for frontier models. Just as AI transformed software engineering, Arithmetic is working to bring the same leap to cybersecurity by creating post-training data from real vulnerabilities, teaching models to reason across black-box search spaces, turn reconnaissance into exploitation, and take correct defensive action. Previously, Uri conducted black-hole imaging research at Harvard and the Smithsonian, and spent several years in Israeli Intelligence.

1 session

Aliisa Rosenthal

Aliisa Rosenthal

General Partner, Acrew Capital

Aliisa Rosenthal is a General Partner at Acrew Capital, where she invests in the next generation of AI-native enterprise software. Recognized as a premier Go-To-Market (GTM) architect, Aliisa was the first commercial hire at OpenAI, where she served as Head of Sales and led the historic scaling of enterprise revenue from $10 million to a $10 billion run rate in just three years. Previously, Aliisa was the VP of Sales at WalkMe, guiding the company through its 2021 IPO. With a career spanning early leadership roles at Mixpanel and InVision, she has a proven track record of scaling frontier technologies into global enterprise standards. A graduate of Brown University, Aliisa is a defining voice on AI commercialization, category creation, and the evolution of the modern sales organization.

1 session

Corby Rosset

Corby Rosset

Senior Researcher, Microsoft Research

Corby Rosset is a Senior Researcher at Microsoft Research studying the intersection of large language models and search/retrieval systems. His work includes conversational search, Bing's People Also Ask feature, and recent verifier research for computer-use agents.

1 session

Maximilian-David Rumpf

Maximilian-David Rumpf

CEO, SID.ai

Researcher at ETH Zürich, now CEO of SID.ai

1 session

James Russo

James Russo

Software Engineer, HeyGen

Engineering lead for HyperFrames. Currently at HeyGen building the future of video storytelling, Previously at Brex

1 session

Raghav Saboo

Raghav Saboo

Staff Machine Learning Engineer, Tech Lead Search & Personalization, DoorDash, Inc.

Raghav Saboo is a Staff Machine Learning Engineer and Tech Lead for Search & Personalization within DoorDash's New Verticals business line. He is currently focused on scaling agentic and generative AI integrations within search and recommendation systems. Previously, he was at Amazon, where he developed the first generation of large language models and distilled models for Alexa AI's new language launches. Prior to Amazon, Raghav worked as a Machine Learning consultant, building zero-to-one solutions for clients across multiple industries. He has publications in WSDM, SIGIR, and RecSys, and holds a Master's from Duke University alongside a combined BEng and MEng from Imperial College London.

1 session

Sarah Sachs

Sarah Sachs

Eng Lead, AI, Notion

Sarah Sachs is an engineering leader focused on shipping practical, high-leverage AI into real products at scale. Currently leading AI Modeling at Notion, she oversees four core areas of the company’s modeling efforts: Reasoning and Agentic Orchestration, Core Model Engineering, Search and Ranking, and Data Specialists & Evals — driving the next generation of Notion AI across reasoning, retrieval, and end-to-end drafting and editing. Before Notion, Sarah was Director of Engineering for AI and Infrastructure at Tome, where she led AI features reaching 18 million users, built end-to-end presentation generation, and owned the OpenAI partnership and model infrastructure. Prior to that she spent three years at Robinhood as Head of NLP & GenAI, setting company-wide generative AI strategy, transitioning a BERT-powered chatbot into a compliant generative assistant, and building NLP content moderation for a regulated fintech environment. Earlier in her career she was a founding ML engineer at Sunshine (formerly Lumi Labs) and a software engineer at Google, where she launched and patented Personal Score in Google Maps, featured at Google I/O 2018. Sarah holds a Sc.B. in Applied Mathematics–Computer Science from Brown University, graduating with a 4.0 CS GPA and the University Distinguished Thesis Award.

1 session

Tanmay Sah

Tanmay Sah

Senior Quantitative Modeler, Zions Bancorporation

Tanmay Sah, PhD, is a quantitative modeler and AI researcher working at the intersection of predictive modeling, model risk, AI evaluation, and agentic AI systems. His notable work includes research on AI agent verification; TanML, an open-source automated machine learning model validation toolkit; and Decoding Reddit Memes Virality. He is especially interested in the next generation of trustworthy AI systems: agents that can reason, use tools, remain auditable, and operate safely under real-world constraints.

2 sessions

Ido Salomon

Ido Salomon

Co-Creator, MCP Apps

Ido Salomon is a seasoned AI lead and software architect. He is the creator of AgentCraft and MCP-UI, the co-creator and maintainer of MCP Apps on the MCP Steering Committee, and the co-creator of GitMCP. Previously, Ido was an architect who led end-user AI at Palo Alto Networks. His work explores the agentic web and user interfaces, with a current focus on raising the ceiling of human-agent collaboration.

2 sessions

Carlos Sanchez

Carlos Sanchez

Principal Scientist, Adobe

Principal Scientist at Adobe Experience Manager, specializing in software automation and agentic applications. Involved in Open Source for over 20 years, he is the author of the Jenkins Kubernetes plugin and a member of the Apache Software Foundation amongst other open source groups, contributing to several projects, such as Kubernetes, Jenkins or Apache Maven.

1 session

Sarah Sanders

Sarah Sanders

Context Engineer, PostHog

Context Engineer at PostHog building and securing AI agents

1 session

Prukalpa Sankar

Prukalpa Sankar

Founder & Co-CEO, Atlan

Prukalpa Sankar is the Founder & Co-CEO of Atlan, the context layer for AI. She's been early to a defining idea of the AI era: context is king. AI systems are only as good as the business context behind the data they rely on. Under her leadership, Atlan has become a Leader in the Gartner Magic Quadrants for both Data & Analytics and Metadata Management, serves 300+ enterprises including Mastercard, GM, JPMorgan Chase, and Nasdaq, and has raised $200M+ from Sequoia, GIC, and Salesforce Ventures. Before Atlan, Prukalpa co-founded SocialCops, the world's largest government data lake powering the UN's SDG monitoring — recognized by the New York Times and the World Economic Forum. She's been featured in Forbes 30 Under 30 and Fortune 40 Under 40.

1 session

Parth Sareen

Parth Sareen

Ollama

2 sessions

Dor Sasson

Dor Sasson

Stigg

Dor Sasson works at Stigg and writes about product, data, and billing infrastructure, with a stated focus on end users and full-stack data work.

1 session

Mahesh Sathiamoorthy

Mahesh Sathiamoorthy

CEO, Bespoke Labs

Co-founder and CEO of Bespoke Labs, which is a data research lab. He created OpenThoughts, a widely used reasoning dataset, and Generative Retrieval, which is used across the industry to improve recommender systems. Previously at Google DeepMind.

1 session

Thor 雷神 Schaeff

Thor 雷神 Schaeff

Member of the Technical Staff (DevX) at Google DeepMind, Google DeepMind

Thor Schaeff works in Developer Experience at Google DeepMind, helping developers build with the Gemini API and Google AI Studio.

5 sessions

Annabell Schäfer

Annabell Schäfer

Growth Engineer, Clickhouse

Annabell Schäfer is a Growth Engineer at Langfuse, the open source LLM observability platform. She works at the intersection of building and teaching, shipping AI tooling that makes Langfuse more accessible to agents while helping engineering teams build stronger mental models for AI development. Before Langfuse, she was a Founding AI Product Specialist at REMATIQ and did GenAI product-architecture research at UC Berkeley.

1 session

Benoit Schillings

Benoit Schillings

VP of Technology, Google DeepMind

Benoit Schillings leads the Thinking, Reasoning, and Coding teams at Google DeepMind, directing foundational research toward AGI. His work focuses on advancing next-generation model reasoning and integrating software development best practices into AI code generation. Previously, as Chief Technology Officer at X, Benoit guided early-stage teams in prototyping Alphabet's ambitious "moonshot" technologies across computing, biochemistry, and clean energy. A native of Belgium with over 30 years in Silicon Valley, he has held senior technical roles at Yahoo, Nokia, and Be.Inc., earning over 40 patents in hardware and software. Outside of pioneering new technologies, Benoit is a father of two and an avid amateur astronomer who explores the night sky using his homemade telescopes.

1 session

Philipp Schmid

Philipp Schmid

Staff Engineer, Google DeepMind

Philipp Schmid is a Staff Engineer at Google DeepMind working on Gemini and Gemma. His work focuses on helping developers build and benefit from AI responsibly.

3 sessions

Lotte Seifert

Lotte Seifert

Founder, SID AI

Founder of SID AI. Training frontier models to retrieve and reason over any data source.

1 session

Arun Sekhar

Arun Sekhar

Principal Product Manager for AI Developer Experience, Microsoft

Arun Sekhar is a Principal Product Manager for AI Developer Experience at Microsoft. He has worked as a developer, development lead and product manager across Microsoft technologies, and is associated with OpenClaw and AI developer tooling.

3 sessions

Subbiah Sethuraman

Subbiah Sethuraman

Partner, ZS Associates

Subbiah leads the AI Engineering Practice at ZS, where he architects and scales enterprise AI systems spanning agentic and traditional ML. He has delivered enterpriseAI applications for leading pharmaceutical clients across R&D, Commercial, and Enterprise domains. His work centers on the engineering foundations that make agents work in the enterprise: semantic and knowledge layers, content authoring and virtual assistants that reason across millions of documents, agent development platforms and AgentOps and governance frameworks for orchestrating, observing, and controlling agentic systems in production. Before pharma, he built AI Engineering solutions across Retail, Manufacturing, and FinTech, and architected Apple's core big data analytics platform. A recognized thought leader, he is passionate about responsible AI and the engineering discipline behind reliable agentic systems.

1 session

Hiral Shah

Hiral Shah

Senior Director of Product, AI Applications, Docusign

Hiral Shah is a Senior Director of Product at Docusign, where she leads Agreement Intelligence and AI-powered product innovation. She focuses on building AI-first capabilities that help organizations unlock value from their agreements—from automatically organizing agreements into meaningful relationships and hierarchies, to delivering agentic experiences that surface insights and answer complex business questions. Prior to Docusign, Hiral led customer data platform and ecosystem products at Amplitude. Her career spans engineering, product leadership, and venture capital, giving her a unique perspective on turning emerging technologies into practical solutions for customers. She holds degrees from University of Mumbai and Carnegie Mellon University, and an MBA from Stanford Graduate School of Business.

1 session

Sumanyu Sharma

Sumanyu Sharma

Founder/CEO, Hamming AI

Sumanyu Sharma is the Founder & CEO of Hamming AI, a YC company that invented automated testing, monitoring, and red-teaming for AI voice agents. Hamming helps teams catch issues before their agents confidently say the wrong thing to a real customer. Before Hamming, Sumanyu worked on high-stakes systems at Tesla and Citizen across revenue, safety, and emergency response. He started in AI research at Waterloo, teaching models to search X-rays by meaning. Put simply, he has spent his career turning “the AI seems fine” into “the AI passed the test".

1 session

Tariq Shaukat

Tariq Shaukat

Chief Executive Officer, Sonar

Chief Executive Officer of Sonar. Previously served as President of Google Cloud and President of Bumble.

1 session

Alex Shaw

Alex Shaw

Member of Technical Staff, Laude Institute

Alex Shaw is the creator of Harbor, a framework for evaluating and optimizing agents and language models in sandboxed environments.

1 session

Varun Shenoy

Varun Shenoy

Cofounder, Long Lake

Cofounder at Long Lake. Focused on diffusing AI: deploying frontier technology into essential services businesses beyond Silicon Valley. Previously at Baseten and Stanford.

1 session

Thariq Shihipar

Thariq Shihipar

Claude Code, Anthropic

Engineer and serial entrepreneur currently working on Claude Code at Anthropic. Previously founded One More Multiverse, co-founded Pubpub.org, and co-founded Chime.

1 session

Em Shreve

Em Shreve

1 session

Micah Silverman

Micah Silverman

Director of Developer Relations, Snyk

Director of Developer Relations at Snyk with extensive Java development experience; author and speaker on developer security and secure software practices.

1 session

Sarah Simionescu

Sarah Simionescu

Composio

1 session

Adi Singh

Adi Singh

Co-founder, AgentMail

Co-founder of AgentMail (YC S25), the email inbox API for AI agents. The company is backed by Y Combinator, General Catalyst, Paul Graham, and founders of Ramp, Supabase, and HubSpot. Before AgentMail, Adi spent time at firms like Accel and KKR while operating software businesses across accounting, edtech, and e-commerce during his time at the University of Michigan.

1 session

Arjun Singh

Arjun Singh

Co-founder and CEO, Superconductor

Arjun Singh is the co-founder and CEO of Superconductor. Previously, he co-founded Gradescope, an AI grading platform acquired by Turnitin in 2018.

1 session

Varun Singh

Varun Singh

Pre-Training Lead, Arcee AI

Pre-training lead at Arcee AI working on end to end pre-training of large language models, with a strong interest in architecture and optimization. Led the pre-training of Arcee's Trinity series of models, ranging from a 6B mixture-of-experts to a 400B mixture-of-experts model.

1 session

Justin Smith

Justin Smith

Founding Product Engineer, Resolve AI

1 session

Richard Socher

Richard Socher

CEO & Co-Founder, You.com / Recursive Superintelligence

AI researcher and entrepreneur; CEO and Co-Founder of You.com and Recursive Superintelligence. Previously Chief Scientist and EVP at Salesforce, with a Stanford PhD in Computer Science and widely cited work in NLP and deep learning.

1 session

Sean Sodha

Sean Sodha

Senior Product Manager, NVIDIA

Sean Singh Sodha is a deep learning Senior Product Manager at NVIDIA, responsible for the Nemotron Retriever portfolio of embedding, reranking, and extraction models powering agentic retrieval and memory systems. Before joining NVIDIA, Sean ran his own Generative AI venture and was formerly at IBM Watson. He holds an MBA from the Wharton School of Business, M.S. in engineering from Cornell University, and B.Sc. in Electrical Engineering from Purdue University.

1 session

Omar Solano

Omar Solano

AI Engineer, Towards AI

Omar Solano is an AI Engineer at Towards AI, where he architects and builds production AI agents and applied LLM systems. His work spans RAG, fine-tuning, agentic workflows, and long-context and reasoning-model systems. He leads client-facing AI consulting projects and delivers hands-on AI engineering workshops for developers, engineering teams, and international conference audiences, including training for Europol and the New York Public Library. Omar has authored 50+ technical lessons and book chapters on RAG, AI agents, fine-tuning, and coding agents, reaching 90,000+ learners through Towards AI's courses and publications.

1 session

Sonar Sonar

1 session

TBD — Sonar

1 session

Joanne Song

Joanne Song

The New York Times Games

1 session

Olive Song

Olive Song

RL Lead, MiniMax

Researcher at MiniMax focused on reinforcement learning and model evaluation for the M-series models.

2 sessions

Chris Souza

Google

1 session

Gabriel Spencer-Harper

Gabriel Spencer-Harper

CEO, Meticulous

Gabriel Spencer-Harper is CEO and co-founder of Meticulous, which builds AI-powered UI testing tooling to eliminate the need to write and maintain UI tests. He previously worked in engineering at Dropbox and Opendoor.

1 session

Anna Spysz

Anna Spysz

Developer Relations Engineer, Stripe

Anna is a Developer Advocate at Stripe based in Portland, Oregon. Before switching to developer relations, she spent nearly a decade as a software engineer, primarily in the serverless and devtools space. As a Frontend Engineer at AWS, she helped build products simplifying the developer experience. Before switching careers into tech, she also spent a decade working as a writer, translator, and tech journalist. She is passionate about making modern application development accessible to users at all levels, particularly beginners and those from non-traditional backgrounds.

1 session

Dhruv Srikanth

Dhruv Srikanth

Founding Engineer, Weco AI

Dhruv Srikanth is a Founding Engineer at Weco AI, where he works on recursive self-improvement. His work includes AIDE, an autoresearch-style system that achieved nearly 4x the medal rate of the next-best autonomous agent across OpenAI’s MLE-Bench. Previously, Dhruv worked on computer vision and robotics research at Carnegie Mellon University and the University of Chicago.

1 session

Krishna Prasad Srinivasan

Krishna Prasad Srinivasan

Head of Vision Models, Sarvam

Krishna Prasad Srinivasan is a Head of Vision Models at Sarvam, where he led a lean team to train Sarvam Vision, India's first sovereign VLM: a 3B state-space model that topped global OCR benchmarks at launch and led the Indic OCR Bench across 22 languages. He now leads the vision vertical's models, research, and product. Previously, he was Tech Lead for AI at Microsoft Research, where he built multilingual copilots for education and developed Indic translation models that outperformed commercial systems. Before that, Krishna was a researcher at Harvard, where he engineered a novel OCR architecture using contrastive learning that outperformed industry benchmarks on complex multilingual documents.

1 session

Anant Srivastava

Anant Srivastava

Principal Technologist - Data and AI Platforms, Oracle

Anant Srivastava is a Principal Technologist for Data and AI Platforms at Oracle, focused on modern data architecture and AI platform decisions for production AI systems.

1 session

Rachna Srivastava

Rachna Srivastava

Enterprise Architect, DFPI

Rachana Srivastava is an Enterprise Architect and AI Solutions Leader with over 20 years of experience advancing generative AI, big data analytics, and large-scale distributed systems. She specializes in architecting intelligent, enterprise-grade AI solutions, including autonomous agents, knowledge graphs, and real‑time analytics platforms. At the Department of Financial Protection and Innovation (DFPI), she leads major digital transformation initiatives, designing high‑impact AI systems that dramatically improve regulatory workflow efficiency and document intelligence accuracy. Rachana’s prior roles include senior engineering leadership positions at Synopsys, Ayla Networks, Hewlett Packard, Thomson Reuters, Acxiom, and IBM, where she built high‑scale data pipelines, security analytics platforms, and AI-driven debugging tools. Her work consistently bridges deep technical expertise with strategic architectural vision. She holds an MS in Statistics, an MBA in Finance, and multiple certifications in deep learning, system design, and product management. Rachana is also a recognized speaker, sharing insights on AI architecture, scalable systems, and responsible innovation.

1 session

Shubhankar Srivastava

Shubhankar Srivastava

Founding Sales Engineer, Browserbase

Shubhankar Srivastava is the founding Sales Engineer of Browserbase, a developer-infrastructure company for building and deploying browser agents that interact with the web. Before Browserbase, he co-founded Houseware, a product analytics company that was acquired by LaunchDarkly.

1 session

Aaron Stanley

Aaron Stanley

CISO, dbt Labs

Security leader at dbt Labs. I build security organizations that help companies scale. I enable growth, accelerate engineering, and earn customer trust.

1 session

Giedrius Steimantas

Giedrius Steimantas

Director of Scraping Engineering, Oxylabs

Giedrius Steimantas is an engineering leader at Oxylabs responsible for scraping engineering and scraper API teams that deliver reliable large-scale public web data gathering infrastructure.

1 session

Yu Su

Yu Su

Co-founder and CEO, NeoCognition

Co-founder and CEO at NeoCognition. Associate Professor at the Ohio State University. Building towards continual learning and abundance of specialized intelligence.

1 session

Salil Subbakrishna

Salil Subbakrishna

GitHub

1 session

Sandhya Subramani

Sandhya Subramani

Senior Developer Advocate, GenAI, Amazon Web Services

Sandhya Subramani is a Sr. Developer Advocate at AWS with 8+ years of experience in Applied AI Research, specializing in Large Language Models and agentic AI systems. She has developed and deployed AI solutions at organizations including Amazon, Warner Bros, and Fidelity Investments.

3 sessions

XiangMing Sun

Unitree

1 session

Tarun Sunkaraneni

Tarun Sunkaraneni

Browser Use, Amazon AGI

Tarun Sunkaraneni works on browser-use/autonomy at Amazon AGI and previously worked at Microsoft and Plaid. His public engineering profile emphasizes Amazon AGI autonomy work.

1 session

Ethan Sutin

Co-founder, Bee (acq. Amazon)

Ethan Sutin is co-founder of Bee, where he works on secure cloud compute.

1 session

Daniel Svonava

Daniel Svonava

CEO and co-founder, Superlinked

Daniel Svonava is CEO and co-founder of Superlinked.

1 session

Anders Swanson

Anders Swanson

Developer Evangelist, Oracle

Anders Swanson is a Developer Evangelist for Oracle Database. He helps developers build modern applications with Oracle Database, including microservices, event-driven systems, cloud-native architectures, vector databases, and AI database features.

1 session

Tim Sweeney

Tim Sweeney

Principal Engineer, Weights & Biases by CoreWeave

Tim Sweeney is a Principal Engineer at Weights & Biases by CoreWeave. His WF26 main-stage session, "Closing the Loop: An Autonomous AI Research Agent," focuses on autonomous AI research agents and the feedback loops behind them.

1 session

swyx swyx

swyx swyx

Curator, Latent Space / AI Engineer

Shawn Wang, known online as swyx, is a co-founder/editor of Latent Space and an organizer and prominent voice in the AI Engineer community.

6 sessions

Garry Tan

Garry Tan

President & CEO, Y Combinator

Garry is President & CEO at Y Combinator, which he rejoined in Fall 2023, after founding Initialized Capital, a successful venture fund. Garry was one of YC’s first partners and funded and advised many iconic YC companies including Coinbase, Instacart, and many others. In YC’s early days, Garry also served as a designer and engineer, and he wrote software and created Bookface, the internal network that connects YC’s alumni founders to this day. Before advising and investing in companies, Garry co-founded the blog platform Posterous (acquired by Twitter in 2012) and was an early employee at Palantir and designed its logo. Garry holds a BS in Computer Systems Engineering from Stanford.

1 session

Devansh Tandon

Devansh Tandon

Principal Product Manager, Meta

Devansh Tandon works on AI Research & Product at Meta, leading AI & recommendations teams. He is a founding member of a new AI research group (Meta Recommendation Systems Research) to develop LLM foundation models & recommendation systems across Meta: to power Instagram, Facebook, Ads. Previously, Devansh led ML/AI teams at Google for 7 years, building the largest ML models across Ads, Search, Discover, YouTube, Gemini. He worked on YouTube's recommendation engine, which drives 70% of video watch time for 2 billion+ daily active users. At DeepMind, he incubated a new generative recommendation system using Gemini, and published multiple research papers. Devansh graduated Magna Cum Laude from Yale University, with a BS in Computer Science and Economics.

2 sessions

Ezra Tanzer

Ezra Tanzer

Director, Product Management, Snyk

Ezra Tanzer is a Director of Product Management at Snyk, leading teams building tools and workflows that help developers ship software while writing secure code, with a focus on developer experience and AI security.

1 session

Chengxi Taylor

Chengxi Taylor

Co-founder & President, General Reasoning Inc.

Co-founder & President at General Reasoning Inc. Building long-horizon AI systems, and evals research lead working with leading frontier labs. Previously CEO and Chief Engineer at Satori, CEO of MyMiniFactory.

1 session

Ross Taylor

Ross Taylor

CEO, General Reasoning

CEO at General Reasoning Inc building long-horizon AI systems. Previously reasoning lead at Meta AI, Llama 2, Llama 3, Galactica, and founder of Papers with Code (acquired by Meta).

1 session

Tereza Tížková

Tereza Tížková

Growth, Factory

Tereza works on growing Factory, the AI-native software development platform where autonomous coding agents (Droids) help engineering teams ship across the entire development lifecycle. Before Factory, she was working on growth as the first hire at E2B, the open-source sandboxed virtual machines powering AI products. In her free time, she likes to write blog, enjoys testing new products, and talking to developers.

1 session

Imad Touil

Imad Touil

Distinguished Engineer, QuantumBlack, AI by McKinsey

Distinguished Engineer and Engineering Transformation Lead at QuantumBlack, rewiring Fortune 500 Enterprises to Become AI-Native Through Centralised Agentic AI SDLC. Previously head of engineering at IBM, and DelightMe

1 session

Vivek Trivedy

Vivek Trivedy

Head of Applied Research, LangChain

Vivek leads Applied Research at LangChain Labs where he's focused on cracking Continual Learning & making it accessible to the world's agent builders. Previously he worked on the LangChain Deep Agents open-source agent harness, worked on his own startup around agents for visual reasoning, and did Health AI at AWS for ~4 years. His PhD was focused on representation learning in Computer Vision.

1 session

Samridhi Vaid

Samridhi Vaid

Senior Machine Learning Engineer, Towards AI

Samridhi Vaid is a Senior Machine Learning Engineer at Towards AI, where she builds production AI systems—multimodal LLMs, agentic systems, RAG pipelines, and evaluations—and helps teach the next generation of AI practitioners through courses, books, and technical writing. With 4+ years across ML/AI and software engineering, she specializes in taking models end-to-end, from training and evaluation to cloud deployment and CI/CD.

1 session

Karan Vaidya

Karan Vaidya

Co-founder, Composio

Karan Vaidya is the co-founder and CTO of Composio, where he's building the agentic tool execution layer for AI agents. Composio gives agents managed authentication, just-in-time tool discovery, and a programmatic sandbox across a catalog of 1,000+ apps and 50,000+ tools — used by flagship agents at AWS, Zoom, Glean, HubSpot..., as well as prosumers building on Claude Code, Codex, and OpenClaw. His work centers on the infrastructure that makes agents reliable in production: an agentic pipeline that builds and self-heals tools, distills agent trajectories into reusable skills, and handles the messy edges of real-world auth and execution. He's based in San Francisco and is active in the local founder community.

1 session

Kenton Varda

Kenton Varda

Principal Engineer, Cloudflare

Lead engineer for the Cloudflare Workers serverless platform, a project he started in 2017. Previously co-founder of Sandstorm.io. Created Cap'n Proto and Cap'n Web. Built lanparty.house. Coined the term "Code Mode".

1 session

Tanay Varshney

Tanay Varshney

Principal Engineer, NVIDIA

Tanay Varshney is a principal engineer at NVIDIA working on NeMotron models, NeMo Platform and LLM inference architecture at NVIDIA.

2 sessions

Arman Vaziri

Arman Vaziri

Senior Staff Software Engineer, Ramp

Software engineer building the agents and data platform powering Ramp’s growth. Built Ramp’s AI SDR; customer data platform that powers all growth channels; and Ramp Revenue, an internal sales platform and suite of agents that drives seller actions. Currently focused on product-led growth and agentic GTM orchestration, evolving agents from workflow-specific background assistants into systems that coordinate actions across growth and sales. Previously worked in Growth Engineering at Affirm and FP&A Engineering at Goldman Sachs.

1 session

Lotte Verheyden

Lotte Verheyden

AI engineer and developer educator, Langfuse, Clickhouse

Lotte Verheyden guides both humans and agents through AI engineering at Langfuse, part of ClickHouse. Her work focuses on making AI observability and agent workflows legible to developers and coding agents.

1 session

Jeff Vestal

Jeff Vestal

Senior Principal AI Architect, Elastic

Jeff Vestal is a Senior Principal AI Architect at Elastic. He works on search, retrieval, generative AI, RAG, and agent use cases with Elasticsearch, including hybrid search and AI systems built on Elastic.

1 session

Alex Volkov

Alex Volkov

AI Evangelist & Host of ThursdAI, W&B from CoreWeave

Alex Volkov is an AI Evangelist at Weights & Biases by CoreWeave and the founder and host of ThursdAI, a weekly podcast and newsletter tracking the fast-moving AI engineering world. Each week, Alex and his crew break down new model releases, benchmarks, evals, agentic engineering patterns, API changes, open source releases, and the tools developers are actually using to build with AI. Before ThursdAI, Alex spent 20 years as a full-stack engineer and founded an AI startup, giving him a builder’s view of what matters and what is just launch-week noise. He helps AI engineers stay current without having to read the entire internet every week.

1 session

Laurie Voss

Laurie Voss

Head of Developer Relations, Arize AI

Laurie Voss is Head of Developer Relations at Arize AI, the leading company for AI observability and evaluations. He has been a developer for over 30 years and was co-founder of npm, Inc.. He believes passionately in making the web bigger, better, and more accessible for everyone.

5 sessions

Nidhi Kaushik Vyas

Nidhi Kaushik Vyas

Product, Google DeepMind

AI product leader who turns frontier research into products people and companies actually use. Background in multimodal generative systems, I've helped launch high-impact products using multimodal Gemini. Previously, machine learning researcher at Apple, and have contributed to research breakthroughs, as well as scalable, trusted, user-centered experiences.

1 session

Rob Wachen

Rob Wachen

Co-founder and President, Etched

Rob Wachen is the co-founder and president of Etched. Etched is building rack-scale infrastructure designed to serve frontier models at scale. A Thiel Fellow and Harvard dropout, Rob previously co-founded Prod, a startup accelerator with a cohort valuation of $100B+.

1 session

Wallon Walusayi

Wallon Walusayi

Qodo

2 sessions

Jeffrey Wang

Jeffrey Wang

Co-founder, Exa

Jeffrey Wang is the co-founder of Exa, an applied AI lab building a search engine for the age of AI. He studied CS at Harvard and previously worked at Plaid before leaving to tackle a problem he believed would become foundational: giving AI systems access to better information. Over the past several years, Jeff has helped build Exa from the ground up, leading product, go-to-market, and company building alongside the development of Exa's search and retrieval infrastructure. Today, Exa powers search and research for leading AI companies and hundreds of thousands of developers. Jeff believes that the intelligence of any AI system is ultimately limited by the quality of information it can access. His work at Exa is driven by a simple goal: build search that helps both AI and humans better understand the world.

1 session

Jess Wang

1 session

Joseph Wang

Joseph Wang

CEO, Emulated

CEO of Emulated, building the data for fully autonomous AI

1 session

Jue Wang

Jue Wang

Senior Staff Researcher, Together AI

Jue Wang is a Senior Staff Researcher at Together AI working on efficient and cost-effective algorithms and systems for LLMs, after earning a Ph.D. in computer science from Zhejiang University.

1 session

Yubo Wang

Yubo Wang

LLM Inference, Together AI

Yubo Wang works on LLM inference at Together AI. His work and WF26 session focus on open-source inference engineering, serving large models efficiently, and building production inference systems for agentic workloads.

1 session

Melanie Warrick

Melanie Warrick

Developer Relations Engineering, Temporal Technologies

Melanie Warrick works in Developer Relations Engineering at Temporal Technologies. She has built AI solutions across data engineering, machine learning, developer relations, and health-tech roles, and now focuses on durable infrastructure and agentic systems.

1 session

Brandon Waselnuk

Brandon Waselnuk

Developer Relations, Unblocked

Brandon Waselnuk works in Developer Relations at Unblocked, a context platform for AI-assisted development.

1 session

Vincent Weisser

Co-founder & CEO, Prime Intellect

Vincent Weisser is Co-founder & CEO of Prime Intellect. Prime Intellect provides an open stack for training, deploying, and continuously improving AI models with compute, RL post-training, evaluations, and inference.

2 sessions

Vincent Wendy

Vincent Wendy

Senior Creative Designer, AI Engineer

Vincent Wendy is a Senior Creative Designer at AI Engineer, focused on UX/UI, visual design, and creative systems for technical audiences. He previously worked across UX and graphic design, including User Experience Lead work at KodeFox.

1 session

Peter Werry

Peter Werry

Founding Engineer, Unblocked

Founding engineer at Unblocked working on context engines for modern engineering teams.

3 sessions

Rafal Wilinski

Rafal Wilinski

Founding Engineer, Runlayer

Rafal Wilinski is a founding engineer at Runlayer, founder of Dynobase, and previously led AI agents work at Zapier.

1 session

Shane Wolf

Shane Wolf

Atlassian

1 session

Thom Wolf

Thom Wolf

Co-founder and CSO, Hugging Face

Co-founder and Chief Science Officer of Hugging Face. Previously physics research and attorney.

2 sessions

Ross Wollman

Ross Wollman

1 session

Jacqueline Wood

Jacqueline Wood

Staff Machine Learning Engineer, Spotify

Jacqueline Wood is a Staff Machine Learning Engineer at Spotify, where she builds personalized, language-steerable generative recommenders. Her applied research focuses on adapting open-weight LLMs with semantic IDs to connect natural-language intent with Spotify catalog entities.

1 session

Kenny Workman

Kenny Workman

CTO, LatchBio

Co-Founder + CTO at LatchBio. Engineering benchmarks and agents for practical tasks in biology research.

1 session

Jia Wu

Jia Wu

Deployed Engineering Lead, Cognition AI

Team lead at Cognition AI. Deploying Devin to the world's leading enterprises.

1 session

Qingyang Wu

Qingyang Wu

Staff Research Scientist, Together AI

Qingyang Wu is a Staff Research Scientist at Together AI working on text generation, dialog systems, multimodal models and inference research. He previously researched language models at Columbia University.

1 session

Han Xiao

Han Xiao

VP, AI, Elastic

Dr. Han Xiao is the VP of AI at Elastic. Han founded Jina AI in 2020 and served as its CEO until its acquisition by Elastic (NYSE: ESTC) in October 2025. Before that, he worked on search at Tencent and Zalando. Han created Fashion-MNIST, a widely used computer vision benchmark with 13K+ citations.

1 session

Dixing Xu

Dixing Xu

Member of Technical Staff, Weco AI

MTS at Weco AI. building self-improving agents and autoresearch systems. Previously at the Linux Foundation.

1 session

Joshua Xu

Joshua Xu

CEO, HeyGen

1 session

Eugene Yan

Eugene Yan

Member of Technical Staff, Anthropic

Eugene Yan is a Member of Technical Staff at Anthropic, where he works on safe and reliable AI systems at scale. He previously led ML/AI teams at Amazon, Alibaba, Lazada, and a healthtech Series A, and writes about LLMs, recommender systems, and engineering.

1 session

Walden Yan

Walden Yan

Co-founder & CPO, Cognition

Walden Yan is the co-founder and Chief Product Officer of Cognition, the AI lab behind Devin, the autonomous AI software engineer. He helped shape Devin from an early research project into a product now deployed across some of the world's largest enterprises. Before Cognition, Walden was a gold medalist for the United States at the International Olympiad in Informatics and studied Computer Science and Economics at Harvard.

2 sessions

Barr Yaron

Barr Yaron

Partner, Amplify Partners

Barr Yaron is a Partner at Amplify Partners, where she backs founders building the next generation of AI infrastructure and applications

1 session

Steve Yegge

Steve Yegge

Icon, Gas Town

Steve Yegge is a longtime software engineer and technical writer known for his work on developer tools and software engineering.

1 session

Liad Yosef

Liad Yosef

Co-creator, MCP Apps

Liad Yosef is the co-creator and maintainer of the MCP Apps spec, a member of the MCP Steering Committee, and the co-builder of MCP-UI. Liad is currently the co-founder and CTO at ORA - building the future of the agentic web. Previously leading agentic interfaces in Shopify's CEO office, Liad is a seasoned AI lead and software architect. He has been a web enthusiast for two decades, passionate about crafting developer-first experiences. When he isn't defining open-source standards for the agentic web, he writes poetry and moonlights as an analog astronaut for the European Space Agency.

2 sessions

Neil Zeghidour

Neil Zeghidour

Co-founder & CEO, Gradium

Neil Zeghidour is the co-founder and CEO of Gradium. Neil founded Gradium after a decade of building and leading frontier generative audio teams at Meta and Google DeepMind. Being frustrated by slow and brittle voice assistants , he built the engineering teams that developed the first neural audio codecs and introduced the first audio LLMs, such as AudioLM, at Google. He later created Kyutai to launch Moshi, the world's first real-time, full-duplex conversational AI , and Hibiki, the first simultaneous speech-to-speech translation system. Today, Gradium is focused on helping developers build natural, real-time voice agents by providing ultra-low latency streaming APIs that transition these breakthroughs from the research lab to production.

5 sessions

Patricija Žemaitytė

Patricija Žemaitytė

Product Manager, Oxylabs

With over five years of experience in the IT industry, Patricija Žemaitytė has built a focus on product management in the web scraping space and currently focuses on SERP and LLM scraping products at Oxylabs.

1 session

Joyce Zhang

Joyce Zhang

Dating Coach for Tech Founders, Joyce Consulting Group

Joyce Zhang is a dating coach for tech founders and ambitious professionals, helping clients build exceptional relationships. She is a former Stripe and BCG operator and MIT alum, and writes Joyce's Dating Playbook.

1 session

Lu Zhang

Lu Zhang

Member of Technical Staff, OpenAI

Lu is an engineer working on large-scale inference platforms, focused on making AI model serving reliable, efficient, and scalable. His work includes distributed systems, workload scheduling, performance optimization, and production reliability. Previously, Lu built and operated GPU clusters supporting large machine learning workloads.

1 session

Rita Zhang

Rita Zhang

Coreweave

Rita Zhang works on CoreWeave's inference platform and AI/ML workload infrastructure. Her background includes principal software engineering work at Microsoft on cloud-native and AI platform systems.

1 session

James Zou

James Zou

Associate Professor of Biomedical Data Science, Stanford University / Together AI

James Zou is an associate professor of Biomedical Data Science at Stanford, with courtesy appointments in Computer Science and Electrical Engineering, and a Stanford HAI faculty affiliate. His AI for Science work includes collective AI-agent systems for scientific discovery with Together AI.

1 session