Isaac Burbank is a Staff Software Engineer with nine years of experience building data-driven systems and machine learning pipelines at scale, currently driving ML train-serve infrastructure at Google. He blends a strong mathematics foundation and a Mechanical Engineering degree with hands-on expertise in Python, Spark, TensorFlow, Docker, Kubernetes and Kubeflow to move models from research to production. His background spans startups and hyperscalers—from co-founding a solutions firm to engineering roles at Amazon and Google—giving him both entrepreneurial grit and large-scale systems fluency. Based in Denver, he’s particularly focused on automating reproducible ML workflows and operationalizing data engineering best practices across distributed environments.
9 years of coding experience
14 years of employment as a software developer
Bachelor Science (B.S.) Mechanical Engineering, Bachelor Science (B.S.) Mechanical Engineering at Washington State University
Contributions:14 releases, 52 commits, 33 pushes in 1 month
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