Yue Li is a software engineer based in San Francisco with eight years of experience at the intersection of AI, systems, and programming languages. They’ve worked across applied ML and verification—from building LLM-assisted code generation at AWS and developing AI revenue engines at Netic to verified hardware and compiler research at MIT CSAIL. Yue blends rigorous formal methods (Coq-based model checking and verified compilers) with practical ML and systems engineering, having implemented production-facing Rust services and large-scale data pipelines. Their background includes hands-on molecular ML and audio modeling research, teaching and tutoring roles, and an ability to translate academic proof techniques into reliable production systems. An under-the-radar strength is shipping end-to-end solutions that bridge low-level verification and high-level ML workflows, making them especially effective at building trustworthy, high-performance AI infrastructure.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Mathematics Computation and Cognition, Bachelor of Science - BS Mathematics Computation and Cognition at Massachusetts Institute of Technology
NUS High School Diploma (High Distinction) Honours in Mathematics Computer Science and Chemistry Major in Physics, NUS High School Diploma (High Distinction) Honours in Mathematics Computer Science and Chemistry Major in Physics at NUS High School of Mathematics & Science
Non-Graduating Programme, Non-Graduating Programme at National University of Singapore
Contributions:40 commits, 1 PR, 1 push in 2 years 1 month
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