Summary
Nicholas Egan is a machine learning-focused software engineer with 12 years of experience building production ML systems and financial simulations across startups and large tech firms. He has driven ML and product direction at Gauntlet—derisking decentralized finance through predictive modeling, simulation, and algorithmic parameter optimization—and recently joined OpenAI after shaping ML foundations at Glean. His background spans NLP research (few-shot learning, explainability, coreference, claim extraction) and systems work from Robinhood to Facebook and Airbnb, blending research rigor with production engineering. Trained at MIT (M.Eng in AI), he mentors teams, builds end-to-end pipelines, and has a knack for turning academic advances into deployable tools and evaluation libraries. Notably, he pairs deep learning expertise with smart contract and distributed-systems intuition, enabling cross-domain impact in crypto, search, and language applications.
12 years of coding experience
8 years of employment as a software developer
Master of Engineering (M.Eng), Artificial Intelligence, Master of Engineering (M.Eng), Artificial Intelligence at Massachusetts Institute of Technology
High School, High School at San Francisco University High School
English, Chinese