Summary
Jeff Soules is a versatile software engineer with seven years of experience blending full-stack development and machine learning, currently building research-grade tools at the Simons Foundation/Flatiron Institute in New York. He brings strong Python, C#, and SQL skills plus growing Typescript/React expertise, and a CS/ML master's from NYU that underpins his work in NLP, robotics, and automated procedural learning. Jeff favors elegant, efficient code that balances generality and practicality, and he enjoys making annoying workflows trivial while enabling ambitious research problems. His background spans academic research and operational systems—bridging the lab and production—and he pairs that with a long habit of continuous math study and curiosity about strong AI.
7 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science (focus in machine learning), 3.94 on 4.0 scale, Master of Science - MS, Computer Science (focus in machine learning), 3.94 on 4.0 scale at New York University
BA, East Asian Languages & Cultures, 3.9 on 4.0 scale, BA, East Asian Languages & Cultures, 3.9 on 4.0 scale at Columbia University in the City of New York
Premedical Post-baccalaureate program, Premedical sciences, 4.3 on 4.0 scale, Premedical Post-baccalaureate program, Premedical sciences, 4.3 on 4.0 scale at Hunter College