Phillip Adkins
Principal Machine Learning Science Manager at Microsoft
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolPhillip Adkins is a Principal Machine Learning Science Manager with eight years of focused experience building and leading teams that apply ML and LLMs to automate data science workflows and extract product-facing insights. He currently leads Microsoft’s Machine Learning Excellence team, driving novel applications of large language models for insight automation while remaining hands-on in tool and model development. His background spans industry use cases from entity resolution and customer behavioral modeling at Grainger to high-frequency trading algorithms at Citadel and multimodal event detection at Banjo, giving him a rare blend of production ML, MLOps, and quantitative rigor. Comfortable with both research-grade modeling and engineering-heavy implementations (C++, Scala, custom algorithms), he excels at turning noisy, real-world data into scalable predictive systems. Based in the Greater Chicago area, he pairs a physics foundation from USC with a track record of shipping practical ML systems that accelerate analytic teams.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at University of Southern California
Github Skills (55)
scraper9
azure9
data-extraction8
crawler8
extraction8
typescript8
vscode8
vscode-extension8
pii8
microsoft8
machine-learning-models7
electron7
confusion-matrix7
microsoft-azure7
crawling7
Programming languages (7)
Github contributions (5)
naivelogic/OnlyPlanes
May 2022 - Oct 2022
Contributions:18 commits, 4 pushes in 5 months
naivelogic/NFL-smarter-football
May 2018 - May 2020
A set of analytics and machine learning models with the goal of bring intelligence to the NFL.
Contributions:183 commits, 2 PRs, 158 pushes in 1 year 11 months
analyticspythonfairness-mldata-sciencegoal
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