Bryan Kaperick is a data engineer with 11 years of experience who blends rigorous applied mathematics training from Virginia Tech with hands-on data science and production engineering across insurance fraud detection and automotive sectors. He has progressed from research and internships—where he built EEG analysis pipelines and textual redundancy detectors—to senior and tech-lead roles at Shift Technology, driving model development, feature design, and pipeline optimizations. Now at Automotive Cells Company, he focuses on turning abstract mathematical problems into robust, production-ready data solutions that enable data-driven decisions. Known for meticulous implementation and clear visualizations, he often bridges research-grade methods and practical deployments, and he enjoys adapting models to new users and noisy real-world data.
11 years of coding experience
7 years of employment as a software developer
Master's degree Computational and Applied Mathematics, Master's degree Computational and Applied Mathematics at Virginia Tech
Contributions:152 PRs, 1374 pushes, 116 branches in 2 years 9 months
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