Ivan Zhou
Senior 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
8 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 (46)
foundation10
foundation-models10
tpu9
arxiv8
jax8
predictive8
sdk8
onnxruntime8
artificial-intelligence7
tensorrt7
machine-learning7
mmsegmentation7
computer-vision6
nlp6
ncnn6
Programming languages (6)
Github contributions (5)
Ivan-Zhou/Uber_Driver_Schedule_Optimization
Apr 2017 - Jul 2017
Contributions:20 commits, 14 pushes in 3 months
driversmachine-learningpredictiveubermoney
DeepNeuron/Uber_Profit_Model
Mar 2017 - Apr 2017
Contributions:40 commits, 26 pushes in 21 days
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