Brian Davis
Staff Applied Machine Learning Engineer at Trase
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolBrian Davis is a Staff Applied Machine Learning Engineer with a decade of experience building high-accuracy, explainable AI systems for healthcare and insurance domains. He combines a PhD-level quantitative background with hands-on engineering—leading teams to productize ML into scalable "factory" pipelines that cut deployment time from weeks to days and automated over a third of client workloads. His work spans document layout analysis for PDF extraction, custom loss functions and PyTorch architectures for clinical understanding, and bias-aware methods for molecular binding models. Based in Oakland, he prioritizes accuracy (>95%), transparency, and customer-driven flexibility, and he deliberately factors problems along business process and technical-risk boundaries to deliver pragmatic, auditable solutions. An early-career JavaScript developer turned ML leader, he brings both product-minded engineering and research rigor to production AI.
10 years of coding experience
13 years of employment as a software developer
Master's degree Mathematics, Master's degree Mathematics at San Francisco State UniversityCalifornia Polytechnic State University, San Luis ObispoDoctor of Philosophy - PhD Mathematics, Doctor of Philosophy - PhD Mathematics at University of Kentucky
Github Skills (8)
economy8
react2
npm-package1
npm1
angular-universal1
slideshow1
redux1
angular1
Programming languages (3)
Github contributions (5)
BrianBeeler/shinycans
Feb 2019 - Feb 2019
Contributions:105 pushes, 2 branches in 12 days
BrianBeeler/weather-app
Mar 2021 - May 2021
Contributions:65 pushes in 1 month
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