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.

All speakers
Devansh Tandon

Devansh Tandon

Principal Product Manager, Meta

Speaking in 2 sessions at AI Engineer World's Fair 2026 — unofficial import demo

Bio

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.

Sessions