Will Hang
Software Engineer at Snorkel AI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolWill Hang is a software engineer and tech lead based in San Francisco with 10 years of experience building low-latency distributed ML systems and production-scale AI infrastructure. He currently leads Interactive Compute at Snorkel AI and previously co-founded and served as CTO of include.ai, a Sequoia-backed no-code automation startup acquired by Retool. His background spans research and engineering roles at Google Brain, DeepMind, and Stanford, where he worked on deep reinforcement learning, graph neural networks, and medical imaging—contributions that include published papers and granted patents. Will combines startup grit with research rigor, having shipped production models and infrastructure used to design TPUs and saved millions through autoscaling work at Salesforce. An advisor and inaugural fellow at ZhenFund, he blends product sensibility with hands-on systems engineering across both software and hardware domains.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Stanford University
Chinese, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (99)
parallel10
python10
specification10
ray10
optimization10
openai-api10
api10
reinforcement-learning10
swagger9
websocket9
gpu9
deep-learning9
hyperparameter-optimization9
automl9
openapi9
Programming languages (7)
Github contributions (5)
imwillhang/I2A-TensorFlow
Feb 2018 - Mar 2018
Contributions:39 commits, 24 pushes, 1 branch in 18 days
imwillhang/imwillhang.github.io
Sep 2017 - Oct 2017
Contributions:93 pushes, 1 branch in 26 days
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