Abraham Hmiel is a Senior Data Scientist in New York with a Ph.D. in Nanoscience and over a decade of hands-on experience turning large, messy data into actionable analytics and production ML systems. He blends deep computational physics and HPC roots with modern Python-based data engineering, NLP, and ML tooling to deliver risk-stratification, entity resolution, and value-based care solutions for health-tech customers. As a manager and technical lead he has built teams, owned data science APIs and platform infrastructure, and driven product-facing model deployments at scale. His background modifying parallel ab-initio codes and publishing peer-reviewed research gives him a rare mix of scientific rigor and production pragmatism. Abraham pairs this technical breadth with a track record of rapid independent learning—recently experimenting with locally hosted LLMs and integrating AI into operational pipelines. Outside work he channels systems thinking into glitchy post-punk music and tabletop strategy games, reflecting a creative curiosity that informs his approach to problem solving.
9 years of coding experience
10 years of employment as a software developer
Master's of Science Nanoscience, Master's of Science Nanoscience at University at Albany
Bachelor of Science (B.S.) Physics and Astronomy, Bachelor of Science (B.S.) Physics and Astronomy at University of Delaware
Doctor of Philosophy (Ph.D.) Nanoscience, Doctor of Philosophy (Ph.D.) Nanoscience at SUNY POLY College of Nanoscale Science and Engineering
Contributions:12 commits, 10 pushes, 1 branch in 1 year 6 months
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