Xiao T. is a highly skilled software engineer with a robust academic background from the University of Illinois at Urbana-Champaign, achieving a perfect GPA of 4.0/4.0 during studies. Experience includes internships and positions at prestigious companies such as Google, Cisco, Goldman Sachs, and the University of Chicago Booth School of Business. Noteworthy contributions consist of developing deep learning models for research on gender distribution in economics publications, creating machine learning models related to the Affordable Care Act, and independent research on fair division algorithms. Additionally, experience as a graduate teaching assistant in data structures and database systems complements technical expertise in Python and C++.
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