Xiangyang Shi
Senior Machine Learning Engineer (Amazon AGI)
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolXiangyang Shi is a Senior Machine Learning Engineer at Amazon AGI with eight years of experience building large-scale data and model pipelines that power generative AI products. He led design and optimization of Nova’s data-prep and compute fabric—scaling to thousands of A10G GPUs and hundreds of thousands of CPU cores—improving throughput 16× while cutting costs to 20% of baseline. Xiangyang combines systems-level skills (cloud, HPC, distributed inference) with frontend/graphics experience, having delivered realtime avatar streaming and production model inference for Nova Canvas. He champions automation and agentic data enrichment to shift teams from implementation work to strategic data decisions, and he balances a long-term engineering mindset with a bias for rapid execution. Trained at SJTU and USC, he is active in cross-disciplinary engineering that spans model evaluation, rendering, and infrastructure integration.
8 years of coding experience
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern CaliforniaAtlanta Summer Engineering exchange program, Atlanta Summer Engineering exchange program at Georgia Institute of TechnologyBachelor of Science - BS Information Security, Bachelor of Science - BS Information Security at Shanghai Jiao Tong University
English, Chinese, Japanese
Github Skills (22)
extraction8
data-science7
pytorch7
machine-learning7
python7
deep-learning6
tensorflow6
testing6
jax5
cypress4
testing-library4
code-generation3
aws3
jupyter3
rust2
Programming languages (4)
Github contributions (5)
XiangyangShi/evidX
Oct 2017 - Feb 2018
Contributions:8 commits, 4 PRs, 7 pushes in 4 months
extractionevidence
XiangyangShi/JupyterTips
Mar 2018 - Sep 2018
little tips about jupyter
Contributions:18 commits, 4 PRs, 14 pushes in 7 months
jupyter
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