About me
I like making machines understand the world.
I’m studying Applied Mathematics @ UC Berkeley, and am interested in the extension of mathematical understanding to the systems that shape up the real world.
Right now, it’s robots. Before, it was floor plans. Before floor plans, GPU boards. I like problems where the math has to work on something real, and where good engineering decides whether it does.
Open résumé
Right now
Lately, we look inward.
A ping-pong ball, @ EMBER Center (BAIR). The lab’s Unitree G1 can rally with a person, but only inside a room full of motion capture cameras tracking a taped-up ball. I’m working on onboard vision so the robot can track the ball itself. More on the robot
Floor plans, @ Trisetra AI. Part-time now. Getting software to pull walls, rooms, labels, and spatial relationships out of architectural drawings that were made for people, not machines.
GPU boards, @ AMD. Back in 2023: a React dashboard for hardware error logs, and a computer-vision pipeline that looked for missing capacitors across more than 10,000 board scans.
Underneath all of it is Applied Math @ UC Berkeley, with reinforcement learning and quantum physics on the side.
Where I’m going
I’m trying to become the best.
The work page has the receipts. The brain page has the questions I haven’t finished with. The life page has the singing, the half-learned German and French, and the arm I broke when I was two.