Peng Tang
Principal Applied Scientist at Amazon Web Services (AWS)
Pasadena, California, United States
Summary
👤
Senior🎓
Top SchoolPeng Tang is a Principal Applied Scientist with a decade of experience advancing GenAI, large language models, and agentic AI across top-tier research and engineering teams at AWS, Meta, Salesforce, and major internships at Microsoft and Tencent. He holds a PhD in Computer Vision from Huazhong University of Science and Technology with visiting research at Johns Hopkins, and his work bridges multimodal vision-language research and production-ready ML systems. At AWS he progressed from Applied Scientist roles to Principal, contributing to scalable AI services and applied research that moves models into real-world products. Known for combining deep academic rigor with pragmatic engineering, he often focuses on the intersection of vision and language where research prototypes transition into cloud-deployed capabilities. Based in Pasadena, he brings both leadership in research initiatives and hands-on model development informed by a steady track record in industry and academia.
10 years of coding experience
6 years of employment as a software developer
Johns Hopkins UniversityDoctor of Philosophy - PhD Computer Vision, Doctor of Philosophy - PhD Computer Vision at Huazhong University of Science and Technology
Chinese, English
Github Skills (26)
compression8
pytorch7
machine-learning7
gpu7
optimization7
deep-learning6
mixture-of-experts6
inference6
react5
jekyll-theme5
jekyll5
seed5
deepspeed3
segmentation3
loss3
Programming languages (2)
Github contributions (5)
ppengtang/pcl.pytorch
Apr 2019 - Aug 2021
Contributions:32 commits, 28 pushes, 1 branch in 2 years 4 months
ppengtang/ppengtang.github.io
Sep 2019 - Jul 2024
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Contributions:26 pushes in 4 years 10 months
simple-websitebeautiful-jekylljekylljekyll-thememinutes
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