I study computer science and philosophy at Stanford. Some of my favorite classes so far include CS224R (Deep RL), PHIL2 (Moral Philosophy), and CS231N (Deep Learning for Computer Vision).
I'm part of the Stanford AI Lab, where I work on robot learning with the IRIS and ILIAD groups advised by Chelsea Finn and Dorsa Sadigh. Recently, I've been working on memory for long-horizon manipulation tasks.
This summer I'm interning at Google on the Applied AI team, working on improving agent behavior for multi-turn conversations.
Previously, I led engineering at Mylon, an early-stage startup building AI-powered tools for research and knowledge discovery.
some projects:
For CS224R, my team built Ψ₀-Recap— a from-scratch port of Physical Intelligence's RECAP method onto the Ψ₀ humanoid VLA. RECAP lets the robot improve from its own rollouts by conditioning the policy on high-advantage actions.
I co-authored AutoSimTest, a paper on using LLM agents to automate drone simulation testing. The agents help write scenarios, run sims, and figure out what went wrong.
At CalHacks 12.0, we built krates, your AI devops engineer before you can afford to hire, automating Docker and Kubernetes for early-stage teams. krates won 1st place on the YC Track.