Summary
Guimin Dong is a Machine Learning Engineer with nine years of experience, currently building ML systems at Chewy after leading GenAI productionization efforts as an Applied Scientist at Amazon. He holds a Ph.D. in Systems Engineering from the University of Virginia and complementary master's degrees in Computer Science and Statistics, blending rigorous theory with practical deployment skills. Guimin’s background spans graph-based recommender systems, topic modeling, LTV and A/B testing, and NLP tasks like NER and sentiment analysis, enabling end-to-end ML solutions from research to production. He has a track record of moving prototypes into scalable services in large-scale environments and a knack for translating academic ideas into robust engineering. Based in Seattle, he brings cross-disciplinary fluency—statistics, systems, and ML—that helps him optimize both model performance and operational reliability. An attention to production constraints and evaluation design often sets his work apart from purely research-focused peers.
8 years of coding experience
4 years of employment as a software developer
Master of Science Statistics, Master of Science Statistics at The George Washington University
Bachelor's degree Economics, Bachelor's degree Economics at Zhengzhou University
Master’s Degree Computer Science, Master’s Degree Computer Science at Vanderbilt University
Doctor of Philosophy - PhD Systems Engineering, Doctor of Philosophy - PhD Systems Engineering at University of Virginia