Surya Vengadesan

I am a problem solver broadly interested in machine learning and systems.

I am interested in problems in AI Safety and Reinforcement Learning.

I developed hardware performance tools in Annapurna Labs at AWS.

I developed LLM inference systems in Catalog Systems at Amazon.

I am pursuing an M.S. in CS from UW Seattle.

I earned a B.S. in EECS from UC Berkeley.

Email  /  Google Scholar  /  Github  /  Substack  /  Alignment Forum

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Publications
Starburst: A Cost-aware Scheduler for Hybrid Cloud

We explore the scheduling trade-offs of job completion time and cost.

Blogs
clean-usnob On Imitation Learning: How well does it perform?

I attempt to break down an Imitation Learning paper.

clean-usnob What is BC? How can we use it?

I define Behavioral Cloning and train OpenAI's cartpole agent.

clean-usnob What are MDPs? And how can we solve them?

I define Markov Decision Processes and implement two algorithms.

Video Essays
On Compiler Construction: How to build one?

I share my experience exploring compilers through CS 164.

Teaching
Euler Circle

I taught math circle courses for high school students on proof writing and game theory.

Impact of AI DeCal

I taught a student-run course on the societal, economical, and financial impact of AI.