Summary
Jaewon Lee is a software engineer based in San Francisco with eight years of experience building high-performance systems, currently working on bringing on-device AI (Gemini Nano) to billions of Chrome users. A Columbia CS senior (cum laude) who has blended academic research with industry impact, he co-authored work on context parallelism for foundation model inference and has hands-on experience across robotics, kernel-level file systems, and full-stack platforms. His background spans Google, IBM research, Amazon robotics, and fast-paced startups, showing a pattern of shipping production-grade infrastructure and ML inference improvements. Notably, he has practical experience using LLMs in systems projects—evolving teaching OS tools with ChatGPT—alongside low-level Linux kernel work from a Recurse Center residency.
8 years of coding experience
2 years of employment as a software developer
B.A. (cum laude) Computer Science, B.A. (cum laude) Computer Science at Columbia University