David Zhang is a seasoned software engineer with 13 years of experience building large-scale systems, most recently joining Genius Sports to help advance their data and AI platform for sports insights. He spent nearly a decade at Google, gaining deep expertise in production-grade engineering and scalable architecture. Based in New York, he combines practical industry experience with recent graduate-level study in Computational Analytics from Georgia Tech, bridging data science and software engineering. David is comfortable working at the intersection of data, ML, and product, shipping reliable systems that turn complex sports data into actionable intelligence. His GitHub (dmonopoly) signals ongoing hands-on tinkering and a preference for learning through code, even when public contributions are modest. Colleagues describe him as a pragmatic problem-solver who translates research-grade analytics into production-ready features.
13 years of coding experience
9 years of employment as a software developer
University of Southern California
Master's Computational Analytics, Master's Computational Analytics at Georgia Institute of Technology
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