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 (35)
python8
extraction8
machine-learning8
pytorch8
data-science7
testing7
tensorflow7
deep-learning7
binder6
browser6
javascript6
neural-network5
jupyterlab-extension5
testing-library5
jupyterlab5
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
jupyterlab-extensionjupyter-notebookpyodidejupyterlabjupyter-widget
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