about me:
- 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 conduct research at the Stanford AI Lab, where I focus on advancing robot foundation models for complex, long-horizon manipulation tasks, as part of the ILIAD and IRIS groups.
- This summer I'm interning at Google on the Gemini Enterprise Agent Platform team, working on production agent tooling for enterprise customers.
- Previously, I led engineering at Mylon, an early-stage startup building AI-powered tools for research and knowledge discovery.
- Always happy to chat — feel free to reach out anytime!
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.
- We built krates, your AI devops engineer before you can afford to hire, automating Docker and Kubernetes for early-stage teams. krates won first place at CalHacks 12.0 (YC Track)
- I built a predator–prey sim with evolutionary neural-net-based agents, inspired by a class I took at my high school, IMSA where we competed in the 'hunger games' for our class project.
Last updated: May 2026