Raymond Zheng is a software engineer with a decade of experience building reliable, production-grade systems across ML infra and consumer-facing platforms. He has led end-to-end anomaly detection and real-time analytics pipelines at Robinhood, helping scale a one-person risk effort into a 20+ engineer team while eliminating recurring failures. His background spans ML infra roles at Meta and Netflix and hands-on stints at Block, Quora, Twitter, and Etsy, blending distributed systems, Spark, and data engineering best practices. Notably, he has reduced high-volume pipeline failures to zero, authored internal Spark guidance, and integrated vendor and regulatory APIs for automated financial compliance. Based in Redmond, he pairs academic CS training from Waterloo with a pragmatic focus on observability and robust automation.
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, Bachelor’s Degree Computer Science at University of Waterloo
Contributions:15 commits, 22 pushes, 7 branches in 22 days
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