Bio
MIT CS junior interested in compiler optimization, AI for code, and hardware-software co-design. At the MIT-IBM Watson AI Lab, I work on AI systems for code, with a focus on RAG and multi-agent methods for C++ performance optimization. Previously, at MIT's Quantum Photonics and AI Group, I built LightCode, a compiler framework for accelerating LLM inference on photonic-electronic hardware.
On campus, I work on power-limiting, torque vectoring, and traction control for the MIT Motorsports Software Controls team, and I have also supported MIT EECS as a laboratory assistant for Introduction to Programming. Outside of class and research, I spend time running, reading science and history biographies, studying political science, and traveling to National Parks.
