Stephan Lee
Staff Software Engineer at Google DeepMind
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolStephan Lee is a Staff Software Engineer with 14 years of experience building production ML and web systems, currently working on tool use post-training at Google DeepMind. He previously led efforts on Gemini post-training and language-model productionization at Google, creating tooling for fine-tuning, distillation, and RL-driven code-execution agents. His background includes tech leadership on TensorBoard analytics and launching Google Chat web, plus prior work modernizing Yahoo Mail with a React rewrite and contributing to Intel’s XDK. Based in Mountain View, he blends deep ML infrastructure expertise with front-end and developer-tooling experience, often translating research capabilities into reliable production workflows. An understated strength is his track record of shipping end-to-end platforms that make complex ML techniques accessible to engineering teams.
14 years of coding experience
12 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Georgia Institute of TechnologyBachelor of Science - BS ECE, Bachelor of Science - BS ECE at Cornell University
Github Skills (81)
python10
datasets10
deep-learning10
javascript10
ml10
neural-network10
html10
electron10
data-science10
inheritance10
tensorflow10
nodejs10
visualization10
css10
machine-learning10
Programming languages (7)
Github contributions (5)
fchollet/tensorboard
May 2019 - Mar 2020
TensorFlow's Visualization Toolkit
Contributions:32 commits, 3 pushes in 10 months
machine-learningtensorflowvisualization
stephanwlee/tensorboard
Jul 2018 - Dec 2021
TensorFlow's Visualization Toolkit
Contributions:4 PRs, 2707 pushes, 1981 branches in 3 years 5 months
machine-learningtensorflowvisualization
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