Jonathan Berliner is a VP of Artificial Intelligence with 11 years of experience designing and shipping ML systems across healthcare, autonomous vehicles, fashion, and legal tech. He builds production-ready pipelines that marry small-data fine-tuning, human-in-the-loop workflows, and prompt optimization to achieve near–frontier performance from dozens of examples. Previously he led ML at Screenshop (acquired by Snap) and contributed research that was singled out in Geometric Intelligence’s acquisition by Uber, and he has deep expertise in efficient learning from imprecise human feedback. Comfortable spanning research and engineering, he architects full-stack AI systems (Python, PyTorch, HuggingFace, Flask, PostgreSQL, AWS/GCP) while partnering closely with domain experts to turn legal and clinical knowledge into high-quality training signals. Outside of work he pursues hands-on crafts like glass blowing and espresso making, reflecting a blend of precision and creativity that informs both his research and product instincts.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.) Cognitive Science, Bachelor of Arts (B.A.) Cognitive Science at Vassar College
Doctor of Philosophy (PhD) Psychology and Neuroscience, Doctor of Philosophy (PhD) Psychology and Neuroscience at Princeton University
Contributions:14 pushes, 4 branches in 1 year 4 months
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