Hao Sheng
Member Of Technical Staff at OpenAI
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHao Sheng is an AI researcher and engineering leader with 11 years of experience building production-grade machine learning systems across top-tier tech companies. Currently a Member of Technical Staff at OpenAI focusing on post-training research, he previously led teams and drove ML strategy as an Engineering Manager and Staff ML Engineer at Apple, and as a Senior Research Scientist at TikTok working on NAS, multi-task learning, and content understanding. He was the founding ML engineer at Landing AI, where he built both engineering and research teams and delivered end-to-end computer vision systems for manufacturing and agriculture customers. Hao combines deep academic training—a PhD in Artificial Intelligence and a Master’s in Computational Engineering from Stanford—with hands-on product delivery, bridging research and deployment. Based in Palo Alto, he has a rare mix of startup grit and large-scale product experience, emphasizing systems that move from prototypes to robust enterprise use. An understated strength is his cross-disciplinary background (math and PPE), which complements his technical leadership with broader systems and product judgment.
11 years of coding experience
5 years of employment as a software developer
HEC ParisThe Chinese University of Hong Kong (CUHK)Bachelor’s Degree Philosophy Politics and Economics, Bachelor’s Degree Philosophy Politics and Economics at Peking UniversityDoctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Stanford University
French, Chinese, English, Chinese
Github Skills (77)
python10
weighted10
deep-learning10
geography10
overpass-api10
ml10
neural-network10
data-science10
spatial-data10
tensorflow10
transport10
machine-learning10
networkx10
deep-neural-networks10
launchpad9
Programming languages (5)
Github contributions (5)
StanfordClimateInfluencer/StanfordClimateInfluencer.github.io
Nov 2019 - Jan 2020
Contributions:18 commits, 2 PRs, 18 pushes in 1 month
stanford-policylab/mathbot
Oct 2020 - Jun 2022
Contributions:2 commits, 1 push in 1 year 7 months
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