AI Engineer World's Fair 2026 — unofficial import demo

Bio

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.

Sessions

• Operating Distributed Inference Systems at ScaleThursday, July 2 · 10:45 AM – 11:05 AM · Track 9Inference