Yung-yu Chung is a Staff Software Engineer with 11 years of experience building scalable ML-driven systems and data platforms, currently based in Sunnyvale and working at Meta. He has deep expertise in anomaly detection, ranking and measurement, and health content classification from senior engineering and technical lead roles at LinkedIn and Meta, where he redesigned training/serving frameworks and automated model configuration to reduce manual tuning. A PhD in Computer Engineering, he blends rigorous research with hands-on full-stack delivery—contributing front-end and back-end code to Apache Pinot to enable self-service analytics and CSV export of anomaly data. Yung-yu excels at linking model development to production diagnostics (bottleneck and root-cause detection in cloud services) and improving retention and content systems through data-driven features. Known for moving between low-level systems and user-facing interfaces, he brings both academic depth and practical product impact.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Engineering, Doctor of Philosophy (Ph.D.) Computer Engineering at Iowa State University
Bachelor of Science (B.S.) Computer Science and Information Engineering, Bachelor of Science (B.S.) Computer Science and Information Engineering at National Taiwan University
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Full-stack Developer
Contributions:99 commits, 217 PRs, 318 pushes in 2 years 10 months
Contributions summary:Yung-yu contributed to the development of the Self-Service UI, allowing all functions to select filters and dimensions. This involved changes in both the front-end (JavaScript) and the back-end (Java templates) to provide the required functionality. The user also contributed to the addition of a tool for fetching Thirdeye data to CSV files, enabling the retrieval of raw and merged anomalies. These changes indicate contributions spanning front-end and back-end development, and possibly data engineering.
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