Jamie Polackwich is a Principal Systems Engineer specializing in data modeling with a decade of experience applying machine learning and quantitative methods to geospatial and enterprise datasets. Based in Denver, he has led R&D and data science efforts at Bluestaq, Maxar Technologies, DigitalGlobe, and Timbr.io, translating research-grade algorithms into operational systems. His background in physics and early quantitative research at Georgetown underpins a rigorous, model-driven approach to solving signal and imagery problems at scale. Jamie combines hands-on engineering with leadership in productionizing ML pipelines and data schemas that support downstream analytics. He’s comfortable navigating both research environments and product-focused teams, often bridging the gap between novel methods and deployable solutions. Colleagues describe him as a pragmatic innovator who makes complex models auditable and useful for real-world decision making.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at The College of William and Mary
Contributions:479 commits, 35 PRs, 187 pushes in 1 year
apipython310python
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Jamie Polackwich - Principal Systems Engineer, Data Modeling