Lulu Cheng is a machine learning engineer in New York with 11 years of experience building data-driven products across fintech, media, and education. She has progressed from statistical and data analyst roles to senior engineering positions at PeerIQ, Capital One, and Block, and currently applies ML at scale at Reddit. Her background combines an MS in Computer Science from Georgia Tech and an MA in Economics, enabling her to bridge rigorous modeling, production engineering, and business impact. Known for translating research-grade analytics into reliable pipelines, she has repeatedly operated at the intersection of data infrastructure and applied ML. A pragmatic collaborator, she brings both startup agility and enterprise-grade delivery to projects that require careful trade-offs between accuracy, latency, and operational risk.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Arts (BA) Political Science, Bachelor of Arts (BA) Political Science at National Chengchi University
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Georgia Institute of Technology
Master of Arts (MA) Economics, Master of Arts (MA) Economics at Syracuse University
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Lulu Cheng - Machine Learning Engineer at Reddit, Inc.