Summary
Nicholas Egan is a senior software engineer specializing in machine learning, with 11 years of experience across NLP, computer vision, distributed systems, and smart contract engineering. He currently builds ML foundations at Glean in San Francisco, following a high-impact stint at Gauntlet where he derisked decentralized finance by applying predictive modeling, simulation, and productionized optimization tools for crypto firms. Earlier at Primer AI, he advanced transformer-based models for coreference resolution, factual claim extraction, and entailment, and helped ship ML infrastructure for explainability and summary evaluation. An MIT alumnus, he earned a perfect 5.0 GPA SB in CS/Eng and an MEng in AI, with internships at Robinhood, Facebook, Airbnb, and more that bridged research to production. He combines rigorous research with entrepreneurial drive and is passionate about turning complex ML and distributed systems research into practical, scalable product outcomes.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (S.B.), Computer Science and Engineering (6-3), 5.0/5.0 GPA, Bachelor of Science (S.B.), Computer Science and Engineering (6-3), 5.0/5.0 GPA at Massachusetts Institute of Technology
High School, High School at San Francisco University High School
English, Chinese