Shuowen Wei
SDE MLE at Amazon
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolShuowen Wei is an experienced SDE/MLE with about a decade of hands-on experience building end-to-end machine learning systems, currently driving real-time and offline ads sourcing and large-scale recommendation infra at Amazon. He combines deep expertise in deep learning, NLP (transformers, BERT), and graph neural networks with strong production skills across AWS, MLOps, and scalable ETL pipelines. Previously as a lead ML engineer at FINRA he delivered high-impact anomaly detection and NLP systems—processing tens of millions of VPC logs daily and clustering over a million emails—to surface security risks and automate regulatory workflows. Shuowen’s background in applied mathematics and research-grade modeling informs a quantitative, experiment-driven approach to feature engineering and model validation. He is selective about roles (H1B/GC sponsorship only) and brings a rare mix of research rigor, full-stack engineering, and practical deployment experience that accelerates ML from prototype to secure, auditable production.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.) Applied Mathematics, Bachelor of Science (B.S.) Applied Mathematics at Wuhan UniversityMaster of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Wake Forest University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
pytorch10
machine-learning10
fastai10
deep-learning10
gpu10
python10
nbdev9
Programming languages (2)
Github contributions (5)
shuowenwei/LeetCodePython
May 2016 - Oct 2022
Contributions:1133 commits, 1002 pushes, 1 branch in 6 years 5 months
shuowenwei/UoNA
Aug 2017 - Jan 2019
Contributions:193 pushes, 1 branch in 1 year 4 months
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