Chengzu Ou

Senior Software Engineer at Databricks

Mountain View, California, United States
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Summary

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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.
code11 years of coding experience
job6 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Rice University
bookBachelor of Engineering - BE Software Engineering, Bachelor of Engineering - BE Software Engineering at Fudan University
bookInternational Exchange Program Data Mining, International Exchange Program Data Mining at UC Santa Barbara
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Stackoverflow

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Github Skills (12)

incremental-learning10
apache-spark10
machine-learning10
model-management10
mlflow10
dvc10
python10
ai10
ml10
lifecycle10
music2
music-generation2

Programming languages (4)

JavaScalaJupyter NotebookPython

Github contributions (5)

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freemso/node2vec-java

Mar 2017 - Nov 2018

Contributions:6 commits, 4 pushes, 1 branch in 1 year 8 months
freemso/freemso.github.io

Feb 2015 - Nov 2018

Contributions:75 pushes, 3 branches in 3 years 9 months
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