Joy Zou is a software engineer in the San Francisco Bay Area with nine years of experience building reliable infrastructure and machine learning systems, currently developing ML models to detect and prevent ad fraud at Google. She has led multi-year projects to ensure data consistency across Workspace APIs and previously built a foundational ML platform for microbial interaction prediction, blending CS rigor with a biochemistry background. Comfortable in Java (and charmed by Go’s mascot), Joy brings hands-on expertise across production services, data pipelines, and research-grade tooling. Her cross-disciplinary training—double major in Computer Science and Biochemistry with bioinformatics—lets her translate messy scientific data into robust, scalable ML solutions.
Contributions:37 commits, 2 PRs, 37 pushes in 1 year 3 months
javatestngappium-javaappium
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