I’m a UC Berkeley student studying EECS, neuroscience, and math. I’m really passionate about agentic AI, brain-computer interfaces, robotics, and longevity!
Hi! I’m currently building a startup and I enjoy working on real-world technical problems that help people!
Right now I work with Chang Lab at UCSF on using speech as a biomarker for depression and chronic pain. I also lead the wetware division for Neurotech@Berkeley, working on neurobiologically-inspired reinforcement learning.
Before college, I spent a lot of time in robotics, competitive programming, and debate. Outside of school and startups, I’m usually playing the cello, running, playing basketball, hacking, or going down some rabbit hole about consciousness.
Curated CS curriculum and partnered with local colleges to secure admissions spots for low-income students. Started an FRC robotics team at a local school.
Taught after-school robotics classes for elementary students.
Started a STEM kits initiative with the robotics team for children receiving long-term medical care.
Taught a Python programming camp.
Modeled the ventral nerve cord with coupled ODEs; rendered a 30fps motion trace driven by spiking neurons. Neurotech@Berkeley.
16,000+ lines of Java across 500+ revisions. Quintic-spline autonomous with 3-dead-wheel odometry and OpenCV classification on an NPU camera.
An agentic IDE companion built around memory, continuity, and retaining high-fidelity workflow context over time.
A wildfire-risk system combining sensing, weather context, and AI-assisted alerts. It earned 3rd place on the Blue Sky track at the Global Neurotech Hackathon.
Hack with Claude hackathon project — a tool helping users make lower-carbon decisions with AI-assisted insights.
250+ hours across two robots — carbon fiber, aluminum, and FR4 parts designed in Fusion 360.