Kevin Hu
Summary
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SeniorXiaoyu Hu is a software engineer with 11 years of experience focusing on machine learning, systems performance, and distributed systems, currently based in the San Francisco Bay Area. He has progressed through roles at VMware, SambaNova, and now CoreWeave, bringing hands-on experience from compiler-level work to production ML infrastructure. Xiaoyu contributes to prominent open-source ML tooling—having improved dataset utilities in the widely used Keras library—demonstrating attention to code quality, docs, and reproducibility. His background includes research on GPU data race detection and a master’s in computer engineering, giving him a strong foundation in low-level performance engineering as well as applied ML. Colleagues describe him as driven to shape impactful systems through meticulous engineering and continuous improvement.
12 years of coding experience
Github Skills (9)
tensorflow10
python10
machine-learning9
deep-learning8
deeplearning-ai8
data-science8
artificial-neural-networks7
documentation7
neural-network7
Programming languages (7)
Github contributions (5)
keras-team/keras
Mar 2023 - Mar 2023
Deep Learning for humans
Role in this project:
ML Engineer
ML EngineerContributions:1 PR, 1 comment in 4 days
Contributions summary:Kevin primarily focused on the Reuters dataset within the Keras library. Their contributions involved updating documentation, formatting code for readability, addressing peer review comments, and fixing linting errors. These changes specifically target the `reuters.py` file, demonstrating a focus on refining the existing dataset utility functions and improving the overall codebase quality.
deep-learningtensorflowneural-networksmachine-learningdata-science
hxy9243/hxy9243.github.io
Jan 2015 - Jul 2026
Contributions:264 pushes, 1 branch in 11 years 8 months
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