Summary
Chengzu Ou is a Senior Software Engineer with 11 years of experience building production-scale ML systems and platforms, currently focused on AI quality and feature store work at Databricks. He led development of a recommender system for a 60M-user social app and drove his company’s ML infra migration from Spark-on-YARN to TensorFlow, MLflow, and Seldon on Kubernetes. Chengzu has hands-on expertise across the ML lifecycle—data collection, feature engineering, model training, deployment, and monitoring—and engineered a centralized feature store using Redis, Delta Lake, Spark, and Flink to eliminate online-offline skew. He also built an AWS-based training platform with CI/CD that sped model iteration and adoption across teams, showing a knack for turning research-driven models into reliable, scalable production services. Based in Mountain View, he pairs an MS in Computer Science from Rice with practical experience across recommender, anti-abuse, and AI quality domains.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Rice University
Bachelor of Engineering - BE Software Engineering, Bachelor of Engineering - BE Software Engineering at Fudan University
International Exchange Program Data Mining, International Exchange Program Data Mining at UC Santa Barbara