Nate George is a Machine Learning Engineer with 11 years of experience building end-to-end MLOps systems, from research and teaching to production ML infrastructure and customer-facing APIs. He has driven multimillion-dollar business impact—leading credit-model deployments and retraining pipelines that reduced losses by $10M+/yr—while architecting CI/CD, ML tooling, and automation across Azure, Databricks, AWS, and Kubernetes. A former university professor who built an HPC GPU cluster and authored academic papers, he also develops industry courses and a Python/data-science book, blending rigorous research skills with practical engineering. Nate excels at turning messy, large-scale data into reliable products (he’s mined 100GB+ datasets for process improvements) and at improving labeling and deployment workflows to cut time and costs dramatically. Now at Shopify, he focuses on ML infrastructure and AI tooling, bringing a rare mix of production-first MLOps leadership, teaching experience, and hands-on scientific expertise.
Some GPU charts. Feel free to use with attribution.
Contributions:1 review, 1 PR, 6 pushes in 2 years 7 months
gpuchartsfree-to-useattribution
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