Hui Guo is a Machine Learning Engineer with a decade of experience building production-ready ML systems and research-driven NLP solutions, currently based in Sunnyvale and working at Quora. She holds a PhD in Computer Science from NC State, where her award-winning research spanned software security, data mining, and NLP—projects included HIPAA breach analysis, app-review event extraction, and value-preference modeling. Hui pairs deep research expertise (LSTM, TensorFlow, embeddings) with hands-on engineering: she contributes to PyTorch, improving static runtime, adding native ops, and automating view-operation generation for a widely used ML framework. Her background bridges academia and industry—from EY’s AI legal-document work to maintaining databases and teaching—giving her a strong mix of production engineering, experimental rigor, and pedagogy. Colleagues describe her as methodical and pragmatic, able to translate complex research into reliable, debuggable code used at scale.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
ML Engineer
Contributions:169 reviews, 91 commits, 82 PRs in 1 year 6 months
Contributions summary:Hui's primary contribution involves enhancing the static runtime environment within the PyTorch framework. They developed scripts to auto-generate view operations, streamlining the integration of new functionalities. Furthermore, they added new native operations and resolved test case issues, improving the stability and completeness of the system. Their work also extended to improving logging capabilities and adding support for specific JIT prim ops.
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