Ying Law is a seasoned software engineer with 11 years of experience building data and systems infrastructure across major tech platforms, currently contributing to YouTube’s Data Funnel Intelligence Platform in the San Francisco Bay Area. Her background spans backend systems, data engineering, and performance optimization at YouTube, Google, and Meta, including work on Android media metrics, Fuchsia system telemetry, and CPU quota systems for web products. She blends strong mathematical training (M.S. in Computer Science and M.A. in Mathematics) with practical expertise in C++, Java, Python, PHP/Hack, Hadoop/Hive, and large-scale testing frameworks. Ying has a track record of turning instrumentation and metrics into actionable resource and reliability improvements, and she often focuses on longevity and regression prevention rather than just feature delivery. A former instructor in mathematics and computer science, she brings clear analytical thinking and an educator’s attention to detail to complex engineering problems.
11 years of coding experience
16 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Indiana University Bloomington
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