Ivan Zhou
Staff Research Engineer at Databricks
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolIvan Zhou is a Senior Research Engineer in San Francisco with 11 years building and deploying state-of-the-art AI systems across industry and academia. He has led large-scale pretraining and multimodal foundation model work at Uber and contributed to foundation-model research and datasets at Stanford CRFM and Databricks Mosaic. His background spans production ML and MLOps—shiping scalable infra for LLM pretraining, computer vision platforms at Landing AI, and personalization systems at Shopify. Ivan pairs deep research experience (RedPajama, Levanter contributions) with hands-on product delivery for enterprise customers and edge deployments. He’s comfortable moving between JAX research codebases and production Spark/Hadoop systems, making him effective at translating novel models into reliable, operational services. Colleagues describe him as a pragmatic researcher who focuses on measurable impact at scale.
11 years of coding experience
9 years of employment as a software developer
Engineer’s Degree, Industrial Engineering, Engineer’s Degree, Industrial Engineering at University of TorontoMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Github Skills (44)
driver10
foundation-models10
mixed-integer-programming9
jax9
mmsegmentation8
optimization8
ai8
onnxruntime8
sdk8
artificial-intelligence8
data-repository8
machine-learning7
ncnn7
computer-vision6
deep-learning6
Programming languages (8)
Github contributions (5)
Ivan-Zhou/Anomaly_Detection
May 2017 - Jan 2018
Contributions:159 commits, 2 PRs, 96 pushes in 8 months
DeepNeuron/Uber_Profit_Model
Mar 2017 - Apr 2017
A predictive model to help Uber drivers make more money
Contributions:40 commits, 26 pushes in 21 days
driver
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