Isaac B is a Data Scientist based in Austin, Texas with nine years of experience applying machine learning to real-world problems across healthcare, insurance, robotics, and autonomous vehicles. He builds end-to-end ML solutions—spanning computer vision, NLP, data pipelines, and full-stack tooling—and has productionized models such as a PyTorch vehicle classifier and a Pix2Pix generative pipeline. At Premier Inc. and prior roles at LexisNexis and CCC, he translated R&D work into stakeholder-facing results and measurable business impact. His background includes hands-on systems work (C#, MSSQL, AWS) and robotics/reinforcement learning research from UT Austin, giving him a rare blend of practical engineering and academic rigor. Notably, he has experience creating reusable Python packages and automation that streamline data preparation and model training. He brings a product-minded approach to AI, preferring solutions that are interpretable, deployable, and aligned with operational needs.
9 years of coding experience
8 years of employment as a software developer
Master of Science Computer Science, Master of Science Computer Science at The University of Texas at Austin
Contributions:2 PRs, 163 pushes, 2 branches in 1 month
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