Eva Huang is a Senior Manager in Data Science with a decade of experience building personalization, monetization, and generative AI platforms across games and finance. She has led cross-functional product and people teams at Capital One, Riot Games, Rec Room, and Google, driving real-time ML serving, generative model risk/audit, and AI-assisted customer service. Her background blends statistics, human genetics, and computer science, enabling a data-first yet human-centered approach to product decisions. Known for asking "why and what" before the how, she connects user behavior, system design, and business outcomes to unlock revenue and engagement. A longtime League of Legends player, she brings domain empathy to game personalization and player-focused experimentation. Based in Chicago, she pairs hands-on ML leadership with product ownership of 0-to-1 platforms and operationalized model governance.
10 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Bachelor of Science - BS, Biological Science, Minor in Physics, Bachelor of Science - BS, Biological Science, Minor in Physics at Peking University
Master of Science - MS, Statistics & Human Genetics, Master of Science - MS, Statistics & Human Genetics at University of Virginia
Contributions:9 PRs, 24 pushes, 4 branches in 2 years 5 months
deep-learningpytorchnanodegreeudacity
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