Cheng-chun Lee
Staff Software Engineer at Google DeepMind
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolCheng-chun Lee is a Staff Software Engineer based in Zurich with a decade of experience specializing in NLP/NLU and post-training work on large language models such as Gemini and Bard at Google and DeepMind. He combines deep research roots—master’s training from EPFL and ETH Zürich—with hands-on systems and algorithm engineering, from C++ program analysis that found thousands of real-world bugs to production LLM tuning. Cheng-chun has repeatedly moved between research and product impact, reducing false positives in static analysis and improving Chinese Q&A tokenization through character embeddings. Known for shipping high-stakes ML systems in industry-leading teams, he brings both applied ML rigor and low-level efficiency optimizations to large-scale language models. A detail not obvious from titles: his early work on algorithmic optimizations and sparse-matrix techniques demonstrates a persistent focus on performance and resource efficiency under real-world constraints.
10 years of coding experience
8 years of employment as a software developer
Master of Science Communication Systems, Master of Science Communication Systems at EPFLMaster of Science - MS Computer Science, Master of Science - MS Computer Science at ETH ZürichBachelor of Science (B.S.) Electrical Engineering, Bachelor of Science (B.S.) Electrical Engineering at National Tsing Hua University
Chinese, English, German
Github Skills (4)
python2
statistics2
data-science1
data-analysis1
Github contributions (5)
wlo2398219/HSPICE
Feb 2016 - Feb 2018
Contributions:13 commits, 12 pushes, 1 branch in 2 years
wlo2398219/IST-ML-Project1
Oct 2017 - Oct 2017
Contributions:16 pushes in 20 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.