Monday / / CS Distinguished Lecture
April 27 / 12:00 PM
Hybrid / Mudd 3514
Speaker
Tushar Chandra
Talk Title
From Research to Reality: The Applied AI Playbook
Abstract
Winning an AI benchmark is a feat; serving billions of users across multiple different surfaces is an entirely different challenge. This talk explores the Applied AI frontier at Google, focusing on the rigorous engineering required to bridge the gap between theoretical research and global-scale production. We will dissect the "Well-Lit Path" to production, addressing ease of use, compute efficiency, and non-AGI machine learning, all of which are important to imbue products with AI.
Biography
I lead the Applied ML team at Google, where our mission is to enable the best AI across Google's product ecosystem. My team develops end-to-end solutions for teams applying AI to their products, focusing on model selection, prompt engineering, supervised fine-tuning/LoRA, distillation, model upgrades, etc.
Before this role, I led the onboard software team at Waymo, working to realize the mission of making it safe and easy to move people and things through autonomous driving technology.
My earlier tenure at Google spanned 15 years, most recently as a Distinguished Engineer. During that time, I co-founded Sibyl, a general-purpose, large-scale machine learning and data analysis system. My career also includes more than a decade of research at IBM, split between the Almaden and T.J. Watson Research Centers.
I received my B.Tech. in Computer Science from the Indian Institute of Technology, Kanpur—where I first met Professor Khuller—and earned my Ph.D. in Computer Science from Cornell University. In 2010, I was a co-recipient of the Dijkstra Prize (alongside Sam Toueg and Vassos Hadzilacos) for the research conducted in my Ph.D. thesis.
Cost: free
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