Doojin Park
Senior Engineering Manager at Google DeepMind
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDoojin Park is a Senior Engineering Manager at Google DeepMind with over 15 years of experience building and operating ML and search infrastructure. He has led GenAI evaluation and analysis efforts, ML visualization and tooling like TensorBoard, and production MLOps platforms including TFX and Vertex AI Pipelines for Cloud Core ML & AI Data. Previously a tech lead on Google Search, he drove intent-based information organization and media/voice search features that powered large-scale user experiences. Based in Mountain View, he combines deep systems and ML engineering expertise with product-focused leadership, mentoring cross-functional teams to ship reliable, observable AI services. A KAIST-trained computer scientist who completed Stanford’s LEAD program, he brings both rigorous technical foundations and business acumen to bridge research and production. Notably, his work spans from low-level search relevancy to high-level GenAI quality evaluation, making him fluent across the ML lifecycle.
11 years of coding experience
19 years of employment as a software developer
Stanford LEAD Professional Certificate, Stanford LEAD Professional Certificate at Stanford University Graduate School of BusinessSeoul Science High SchoolMaster's degree, Computer Science, Master's degree, Computer Science at Korea Advanced Institute of Science and Technology
Github Skills (12)
tfx10
watson10
machine-learning10
docker10
mlflow10
deploying10
tensorflow10
apache-beam10
mlops9
ml8
python5
neural-network3
Programming languages (2)
Github contributions (5)
nikelite/tfx
Jun 2020 - Mar 2025
TFX is an end-to-end platform for deploying production ML pipelines
Contributions:1 PR, 144 pushes, 20 branches in 4 years 10 months
deployingend-to-endml-pipelinesdockermachine-learning
nikelite/nikelite-dotfiles
May 2015 - Mar 2016
Contributions:4 pushes in 9 months
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