Mike Skaug is a senior principal AI and data science engineer based in Boulder with over a decade of experience turning sensor and geospatial data into production-ready ML systems. He has led cross-functional teams at Medtronic, Maxar, HawkEye 360 and Aurora Insight, building end-to-end pipelines for detection, calibration, geolocation and signal embedding while bridging research-grade algorithms and operational software. Trained as a physicist with a PhD in Materials Science, he brings deep expertise in signal processing, computer vision and statistical modeling rooted in prior soft-matter and microscopy research. Mike is equally comfortable prototyping novel deep learning and Gaussian process models and shipping containerized services monitored in the field, a combination that accelerates product impact in aerospace and RF sensing domains. An understated strength is his track record of translating academic breakthroughs into robust cloud-deployed products that handle sparse, noisy sensor inputs at scale.
10 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Materials Science, Doctor of Philosophy (Ph.D.) Materials Science at University of California, Davis
Bachelor of Science (BS) Engineering-Physics, Bachelor of Science (BS) Engineering-Physics at Santa Clara University
Contributions:56 commits, 1 PR, 65 pushes in 7 months
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