Summary
Wei Mu is an applied scientist and technical lead with a PhD in Chemical Engineering, a Master's in Statistics, and 12 years of industry experience applying machine learning to product development, manufacturing optimization, and quality control. Currently at Amazon after leading AI-driven R&D and serving as the sole technical liaison for the largest customer at Hollingsworth & Vose, he specializes in turning ambiguous business requests into measurable prototypes, pilot trials, and scaled commercialization. He is proficient in a broad set of ML techniques—from time series and ensemble trees to TensorFlow-based NLP—and routinely trains models on AWS for real-world deployment. A published researcher with 21 papers including top-tier journals, he combines deep academic rigor with practical cross-functional coordination across marketing, operations, quality, and logistics. Notably, he has repeatedly owned end-to-end technical delivery for high-stakes customers, demonstrating both hands-on modeling skill and the stakeholder management needed to bring lab innovations to market.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at Georgia Institute of Technology
Master's degree, Chemical Engineering, Master's degree, Chemical Engineering at Miami University