Raymond Zheng is a Consumer ML Systems Engineer at Netflix who designs and operates end-to-end anomaly detection and ML infrastructure for production at scale. With nine years of experience, he led Robinhood’s risk analytics as the first risk engineer, transforming flaky pipelines into zero-failure, real-time systems and authoring Spark guides and data engineering interview material. His work spans the full stack—from data ingestion and modeling to continuous delivery—complemented by ML infra roles at Meta and hands-on software internships at Quora, Twitter, and Etsy. He has pursued anomaly-detection research for generic autoML time series and collaborated with external APIs to measure metrics and automate compliance reporting. Based in San Jose, California, he is a University of Waterloo CS graduate who combines production engineering discipline with a research mindset.
10 years of coding experience
9 years of employment as a software developer
High School, High School at Lynbrook High School
Bachelor’s Degree, Computer Science, 3.4 GPA, Bachelor’s Degree, Computer Science, 3.4 GPA at University of Waterloo
Contributions:15 commits, 22 pushes, 7 branches in 22 days
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