Xiaohan Chen is an applied scientist with nine years of experience specializing in computer vision, machine learning, deep learning, and optimization, currently driving research-to-product work at Amazon from Austin. With a trajectory through doctoral research at Texas A&M and UT Austin and a senior algorithm role at Alibaba, Xiaohan blends rigorous academic foundations (Applied Mathematics and advanced ECE/CS training) with industry-scale deployment experience. They focus on turning novel models and optimization techniques into robust, production-ready solutions across visual AI problems. Notably, their career bridges both international tech ecosystems and US research institutions, giving them a pragmatic perspective on scaling algorithms in diverse operational environments.
9 years of coding experience
3 years of employment as a software developer
Electrical and Computer Engineering, Electrical and Computer Engineering at The University of Texas at Austin
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at University of Science and Technology of China
Computer Science, Computer Science at Texas A&M University
Contributions:35 pushes, 1 branch in 5 years 3 months
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