Owen Boberg
Staff Solution Architect at Resultant
Indianapolis, Indiana, United States
Summary
👤
Senior🎓
Top SchoolOwen Boberg is a Staff Solution Architect and former Manager of Machine Learning Engineering with 11 years of experience building data-driven products for government, startups, and research institutions. He combines a PhD in Astronomy with production ML and data engineering expertise—designing Snowflake pipelines, optimizing costs, and deploying ML-powered customer segmentation and entity resolution for e-commerce. At Resultant he leads teams that deliver AI solutions for state and local governments with a user-centered focus, and previously translated live-streaming metrics into actionable insights as Principal Data Engineer at Mandolin. His background in large scientific collaborations (LSST) and NSF-funded research informs a rigorous approach to reproducible, containerized analysis and scalable architectures. Known for cutting operational costs (e.g., fourfold Snowflake credit reduction) and for mentoring cross-sector teams, he bridges academic depth with pragmatic product delivery. Outside work he’s an avid climber, guitarist, runner and family man—traits that reflect a collaborative, curious, and disciplined problem solver.
11 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (PhD), Astronomy, Doctor of Philosophy (PhD), Astronomy at Indiana University BloomingtonBachelor of Science (BS), Physics; Minors in Chemistry and Mathematics, Bachelor of Science (BS), Physics; Minors in Chemistry and Mathematics at New Mexico State University
Spanish, English
Github Skills (12)
maf10
survey9
simulations8
stacked8
telescope6
python5
react5
image-processing5
scheduler4
numpy2
scipy2
astropy2
Programming languages (4)
Github contributions (5)
oboberg/lsst_notebooks
Oct 2017 - Oct 2018
Contributions:3 PRs, 202 pushes, 1 branch in 1 year
oboberg/oboberg.github.io
Jul 2014 - Jun 2021
Contributions:75 commits, 2 PRs, 85 pushes in 6 years 11 months
react
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