Thomas Osterbind is a Senior Software Engineer in New York with over a decade of experience as a full‑stack developer, data scientist, and machine learning practitioner, currently building solutions at Microsoft. He has productionized large-scale computer vision systems—training 85+ CNNs to tag 300+ product attributes—and designed human-in-the-loop platforms that cut tagging costs by an order of magnitude. His background at Zipari and Qri reflects strong backend and data engineering skills, while earlier roles in risk management and climate research provide uncommon quantitative and domain breadth. Thomas combines hands-on model development, product-facing engineering, and team leadership (including hiring and directing ML PhD candidates) to turn complex data problems into scalable business outcomes.
11 years of coding experience
11 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Oregon State University
BA, Economics, BA, Economics at University of Chicago
Provides Utility for converting length titles into condensed but still recognizable variable names
Contributions:8 commits, 12 PRs, 13 pushes in 11 days
resolvevariable-nameslengthconvertingcondensed
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Thomas Osterbind - Senior Software Engineer at Microsoft