Justin Ormont is a Principal Machine Learning Data Science Manager on Microsoft's AI Platforms team with 11 years of experience building and shipping ML tooling. Based in Mountain View, he leads data science efforts that ensure Microsoft’s ML products are robust, secure, and production-ready. His background in physics, mathematics, computer and nuclear engineering gives him a rare mix of theoretical depth and practical engineering instinct. A hands-on contributor to ML.NET, he has improved core .NET ML infrastructure and security hygiene (e.g., moving HTTP links to HTTPS) while tuning solver warnings and internals. He excels at bridging research-quality methods with scalable backend engineering to deliver developer-facing ML platforms.
11 years of coding experience
BS, Physics & Mathematics, BS, Physics & Mathematics at University of Wisconsin Oshkosh
MS, Computer Engineering, MS, Computer Engineering at University of Wisconsin-Madison
ML.NET is an open source and cross-platform machine learning framework for .NET.
Role in this project:
Back-end Developer & ML Engineer
Contributions:161 reviews, 26 commits, 71 PRs in 2 years 5 months
Contributions summary:Justin primarily contributed to the .NET machine learning framework, ML.NET, by addressing formatting issues, correcting code, and improving warnings. They also modified existing code to move HTTP links to HTTPS for better security and added parameters to the warning for L2 in SDCA. The commits show interaction with the core library's internal utilities.
Contributions:7 commits, 9 pushes, 1 branch in 5 months
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