Yadan Wei

Software Engineer at Amazon Web Services (AWS)

San Jose, California, United States
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Summary

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Rockstar
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Yadan Wei is a software engineer based in San Jose who blends five years of experience across AI, cloud infrastructure, and financial services to build production-ready ML and distributed systems. Currently at AWS working on Deep Learning Containers and LLM tooling, he previously accelerated training workflows and benchmarking for large-scale models—cutting training time by over 50% during his AWS internship. A Northeastern CS graduate with a prior master's in finance and CFA charter, he brings rare domain fluency in both modeling and the operational needs of financial products. Comfortable in Golang, Kubernetes, and ML stacks, he has shipped progressive delivery controllers and robust end-to-end tests for large orchestration systems. Certified as a Scrum Product Owner and experienced in data platform delivery, he focuses on pragmatic, measurable improvements that bridge research and production.
code4 years of coding experience
bookMaster's degree, Finance, General, Master's degree, Finance, General at Nanjing University of Aeronautics and Astronautics
bookMaster's degree, Computer Science, 4.0, Master's degree, Computer Science, 4.0 at Northeastern University
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Github Skills (26)

pytorch10
docker10
mxnet10
machine-learning10
sagemaker10
tensorflow10
aws10
python9
deep-learning9
neural-network8
data-science7
programming-language7
medium7
ml7
gpu7

Programming languages (4)

C++GoJupyter NotebookPython

Github contributions (5)

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AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Contributions:467 pushes, 104 branches in 7 months
Yadan-Wei/cs61a-19fall

May 2021 - May 2021

Contributions:9 commits, 6 pushes, 1 branch in 2 days
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Yadan Wei - Software Engineer at Amazon Web Services (AWS)