Kyle Klarup is a senior data scientist and former physicist with a decade of experience applying NLP, information extraction, and knowledge-graph methods to production-scale problems at Johns Hopkins APL and federal agencies. A Presidential Management Fellow who transitioned from a physics PhD to data science, he has built and deployed transformer models, ontology-learning pipelines, and prototype systems that supported national-response efforts and agency operations at the IRS and NASA. He combines hands-on engineering (Python, SQL, OCR, CV) with research into topic tracking and quantum machine learning, and routinely collaborates with ontologists, engineers, and domain experts to turn experimental techniques into reusable pipelines. Based in Salem, Oregon, he balances mission-focused work with hobby projects on GitHub and a technical blog, reflecting a habit of exploring unconventional intersections like quantum annealing for text analytics.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of Oregon
Bachelor of Arts (BA), Physics, Bachelor of Arts (BA), Physics at Grinnell College
Contributions:21 commits, 2 PRs, 20 pushes in 10 days
pythonurllibbeautifulsouppython3webscraping
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