Xiang Gao
Deep Learning Framework Engineer at NVIDIA
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolXiang Gao is a deep learning framework engineer at NVIDIA with nine years of experience combining a Ph.D. in theoretical/computational chemistry and strong PyTorch development skills. He brings a rare mix of rigorous scientific training and production-grade ML engineering, having transitioned from academic research and teaching to building and optimizing core deep learning infrastructure. Based in the San Francisco Bay Area, he focuses on making AI frameworks faster and more reliable while leveraging his physics and CS background to reason about numerical stability and performance. An active practitioner in the deep learning and AI open-source ecosystem, he blends low-level systems expertise with model-focused insights to bridge research and production.
9 years of coding experience
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at University of Science and Technology of ChinaMaster of Science - MS, Computer Science, 4.0/4.0, Master of Science - MS, Computer Science, 4.0/4.0 at University of Florida
Github Skills (44)
transformers10
text-generation10
pytorch10
language-model10
python10
relevance10
machine-learning10
playing10
deep-learning10
tensorflow10
adversarial-learning10
bert10
natural-language-processing10
transformer10
speech-recognition10
Programming languages (2)
Github contributions (5)
microsoft/MixingBoard
Apr 2020 - Sep 2020
Contributions:29 commits, 3 pushes, 1 comment in 5 months
microsoft/MSR-NLP-Projects
Sep 2020 - Sep 2020
Contributions:17 commits, 15 pushes, 1 branch in 12 days
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