Brian Nemsick is a Principal Data & Applied Scientist at Microsoft with a decade of experience building production-grade machine learning systems, currently tech-leading the Viva Engage recommendations team. He specializes in recommender systems, generative AI, and large language models to deliver personalized content at scale for millions of users. Prior roles include scaling deep learning for industrial inspection and designing cost-saving NLP and ML frameworks in healthcare, where his work produced multi-million dollar impact and large compute savings. Trained at Georgia Tech and UC Berkeley in electrical engineering and EECS, he blends strong theoretical foundations with pragmatic engineering—often rebuilding deployment pipelines and model infra from scratch to move research into reliable production.
10 years of coding experience
5 years of employment as a software developer
Master's of Science Electrical Engineering and Computer Science, Master's of Science Electrical Engineering and Computer Science at University of California, Berkeley
Bachelor of Science in Electrical Engineering Electrical Engineering, Bachelor of Science in Electrical Engineering Electrical Engineering at Georgia Institute of Technology
Preprocessing, coordinate frame calibration, configuration files, and launching procedure used to generate point clouds with Google Cartographer for the RadMAP acquisition system. The RadMAP acquisition system consists of two LIDARS, differential GPS, two Ladybug 360 cameras, and an IMU.
Contributions:37 commits, 26 pushes, 2 comments in 3 months
Contributions:4 PRs, 11 pushes, 1 branch in 2 years 9 months
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