Summary
Nathan Weinstein is a Member of the Technical Staff in New York with 11 years of experience building production-grade ML systems that span remote sensing, geoscience, and finance. He combines a deep academic background (M.Sc. in Geophysics and Space Science) and hands-on startup leadership—founding ML roles at TierraSpec and Othello—where he shipped LLM agents, real-time speech pipelines, and embedding-driven semantic systems. His research produced a patent-pending hyperspectral algorithm for mineral detection and led to pending patents in soil-health modeling that cut fertilizer usage by up to 30%. Now focusing on applying GenAI and automation to modern finance, he melds cloud-native deployments (AWS Lambda, Docker, MLflow) with human-in-the-loop workflows to drive reliable, scalable products. A former combat engineer who has led field operations, he brings pragmatic rigor and a penchant for turning hard scientific problems into deployable solutions.
11 years of coding experience
4 years of employment as a software developer
B.Sc., Earth Sciences (Geoscience), B.Sc., Earth Sciences (Geoscience) at The Hebrew University of Jerusalem
M.Sc., Geophysics and Space Science, M.Sc., Geophysics and Space Science at Weizmann Institute of Science
Russian, Hebrew, English