Michael Johnson is a Machine Learning Data Systems Engineer III with over a decade building scalable data pipelines and production-grade ML infrastructure for research and industry, now at CrowdStrike. He blends formal training in astronomy and data science with hands-on experience running the Dark Energy Survey data management operations at NCSA, giving him deep expertise in scientific-scale data workflows, Kubernetes-based deployments, and cloud integrations. Michael has moved from research scientist to engineering roles that operationalize complex imaging pipelines and open-source frameworks like Clowder, applying best practices to accelerate reproducible science. He is skilled at translating astronomical data challenges into robust, maintainable systems that power both discovery and product outcomes. Based in Champaign, IL, he is passionate about using AI to speed code development and about bridging the gap between domain science and production engineering. An uncommon strength is his ability to optimize for both high-throughput scientific processing and enterprise ML reliability.
10 years of coding experience
11 years of employment as a software developer
Master of Computer Science (MCS) Data Science, Master of Computer Science (MCS) Data Science at University of Illinois Urbana-Champaign
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Michael Johnson - Machine Learning Data Systems Engineer III