Summary
Kevin Lu is a researcher based in San Francisco with nine years of experience at the intersection of AI research and high-performance engineering, having held roles at OpenAI, Hudson River Trading, and Berkeley AI Research. He blends rigorous academic training from UC Berkeley in EECS with hands-on production and research experience, moving fluidly between applied ML problems and systems-level performance optimization. His career spans fast-paced research labs and trading infrastructure teams, indicating a knack for building reliable, low-latency solutions under real-world constraints. Currently at Thinking Machines Lab, he continues to push on cutting-edge ML research while drawing on prior experience in both academic and industry settings. Colleagues would describe him as quietly prolific—his public GitHub notes “lazy to write,” yet his trajectory suggests substantial, focused contributions that prioritize impact over self-promotion.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering and Computer Science, Bachelor of Science - BS Electrical Engineering and Computer Science at University of California, Berkeley
Garnet Valley High School