Youngju Song is an applied scientist with 11 years of experience specializing in formal verification and programming languages, currently working on hardware formal verification for AI chips at Amazon's Annapurna Labs using tools like z3, Lean, Python, and Rust. He holds a PhD in Computer Science from Seoul National University and has a strong research background including postdoctoral roles at Max Planck Institute for Software Systems and Seoul National University. Known as a "Coq Addict" on GitHub, he blends deep theorem-proving expertise with practical engineering to bridge formal methods and chip design. His career uniquely spans academia and industry, applying rigorous proofs to real-world hardware verification problems in high-performance AI systems.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science (Programming Language), Doctor of Philosophy - PhD, Computer Science (Programming Language) at 서울대학교 (Seoul National University)
High School Diploma, High School Diploma at Korea Science Academy of KAIST
Bachelor's degree, Mathematics, Computer Science, Bachelor's degree, Mathematics, Computer Science at Korea Advanced Institute of Science and Technology
Contributions:41 commits, 9 PRs, 9 pushes in 3 years 9 months
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