Zhenguo Chen

SDE AI ML Distributed Training at Amazon Web Services (AWS)

San Jose, California, United States
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Summary

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Zhenguo Chen is an experienced machine learning engineer with 9 years building production-grade AI systems, now focusing on distributed training as an SDE at AWS after four years as a Senior ML Engineer at Bloomberg. He combines a strong academic foundation—a Master's in Computer Science from University of Colorado Boulder—with practical engineering across startups and enterprises, including Clinc’s conversational AI work. Skilled in scaling ML workloads and optimizing training pipelines, he blends systems thinking with model-centric intuition to move research into reliable production. Based in San Jose, he brings a cross-disciplinary background rooted in information security and law from Nankai University, which informs a pragmatic approach to data and model governance. Curious and lifelong-learning oriented (学无止境), he favors engineering solutions that balance performance, cost, and observability at cloud scale.
code9 years of coding experience
job6 years of employment as a software developer
bookBachelor’s Degree Double degree of Information Security and Law, Bachelor’s Degree Double degree of Information Security and Law at Nankai University
bookMaster's degree Computer Science, Master's degree Computer Science at University of Colorado Boulder
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Github contributions (5)

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huyueshan/HSWX-vue

Nov 2017 - Feb 2018

Contributions:2 commits, 1 branch in 3 months
huyueshan/work_cp

Jun 2018 - Sep 2018

Contributions:68 pushes, 1 branch in 3 months
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Zhenguo Chen - SDE AI ML Distributed Training at Amazon Web Services (AWS)