Hey it's Surya 👋

I am a problem solver and enjoy learning!

I have developed hardware performance tools in Annapurna Labs at AWS and developed LLM inference systems in Catalog Systems at Amazon as well. I explored hybrid cloud schedulers for ML training jobs at SkyLab and schedulers for RL training at Lawrence Berkeley National Lab. I am pursuing an M.S. in CS from UW Seattle and earned a B.S. in EECS from UC Berkeley.

Interests: AI Safety, Reinforcement Learning, Machine Learning, Systems

Email  /  Google Scholar  /  CV  /  Github
Substack  /  Alignment Forum  /  X  /  Letterboxd

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

We explore preference drift and evaluate adversarial personas.

I attempt to break down an Imitation Learning paper.

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

I define Markov Decision Processes and implement two algorithms.

I share my experience exploring compilers through CS 164.

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

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