Wei Guo
Applied Scientist at Amazon
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolWei Guo is an applied scientist with eight years of experience and five years focused on machine learning and deep learning, currently advancing safe and trustworthy AI at Amazon in the Washington DC–Baltimore area. His work spans safe deep reinforcement learning, bias detection in large language models, and production-ready deep learning frameworks for fraud and anomaly detection. At George Washington University he led a technical task on a $2.5M NASA project building an in-time learning-based aviation safety management system, blending research rigor with applied engineering. Wei combines a PhD in Computer Science with prior industry internships in data analysis and product management, giving him a strong cross-disciplinary perspective on data-driven product design. A self-described learner, programmer, and thinker, he brings both theoretical depth and practical experience turning AI safety research into deployable systems.
8 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Statistics, Bachelor’s Degree, Statistics at East China Normal UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The George Washington UniversityMaster’s Degree, Computer Engineering, Master’s Degree, Computer Engineering at University of Virginia
Chinese, English
Github Skills (84)
transformers10
language-model10
python10
gymnasium10
wgs8410
deep-learning10
markdown10
transformer10
nlp10
q-learning10
tensorflow10
natural-language-processing10
pytorch10
machine-learning10
jekyll10
Programming languages (6)
Github contributions (5)
weiguowilliam/CEAT
May 2020 - May 2021
Contributions:6 commits, 5 pushes, 1 branch in 11 months
weiguowilliam/reinforcement-learning-lesson
Apr 2018 - Sep 2020
Contributions:2 pushes, 1 branch in 2 years 5 months
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