Jonathan Schlosser
Chapel Hill, North Carolina, United States
Summary
Jonathan Schlosser is an AI engineer and data science educator with a decade of applied statistical and data science experience and deep expertise in NLP, ML, and generative AI. He builds production-ready data applications and end-to-end ML systems, recently focusing on LLM-driven code generation and automated LLM-as-judge evaluation frameworks. Jonathan has led generative AI product development and governance work at startups and enterprise platforms, and has a strong track record of accelerating data pipelines and reducing operational latency in high-volume environments. As an instructor and mentor he’s redesigned graduate-level deep learning curricula, guided hundreds of projects, and helped many learners land roles at top tech firms—work recognized even on a Times Square billboard during a mentoring campaign. Comfortable across R, Python, SQL and ramping in TypeScript, he blends academic rigor from computational social science with hands-on product engineering to translate complex models into scalable, auditable solutions.
5 years of coding experienceProgramming languages (2)
Github contributions (5)
JPSchloss/Spotify-Dash-Final
Feb 2021 - Aug 2021
Contributions:23 commits, 15 pushes in 6 months
JPSchloss/JPSchloss
Feb 2022 - Jun 2026
Contributions:17 pushes, 1 branch in 4 years 4 months
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