Mao Li is a Senior Applied Scientist at Amazon’s Rufus team in Seattle with 11 years of experience building production-scale machine learning systems and conversational models. He has driven advances across Alexa speech recognition, product knowledge graphs, and now is leading development of a shopping-focused LLM designed for highly personalized, interactive user experiences. Mao holds a PhD in Computer Science from University of Illinois Chicago and has published work on representation learning for emotion recognition that was submitted to ICASSP. Known for a pragmatic research-to-production approach, he blends deep academic rigor with product-minded engineering to move novel models into real user-facing features. Outside of work he signals a continual learning mindset with the motto “stay hungry, stay foolish.”
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Illinois Chicago
Master of Engineering (M.Eng.) Communication and Information Engineering, Master of Engineering (M.Eng.) Communication and Information Engineering at University of Electronic Science and Technology of China
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