Summary
Archimedes Li is a fourth-year Computer Science and Math student at UMass Amherst with eight years of software experience and a growing focus on machine learning research. He has applied evolutionary algorithms and NEAT with lexicase selection to improve multi-objective rooftop solar siting—delivering large gains in carbon offset and equity and co-authoring a submission to ACM e-Energy. Hands-on internships at ISO New England and MIT-STEP show he can reverse-engineer legacy systems, redesign Java backends, and build full AWS-backed content delivery and interactive 3D tooling. He’s built production-feasible ML pipelines for photonics optimization and prototyped allocation algorithms for fair course assignment, combining rigorous math with pragmatic engineering. A 4+ year JavaScript and Python builder and active hackathon participant, he also composes anime and Vocaloid music on piano—a creative habit that feeds his taste for elegant, playable code. Based in San Diego, he shares projects on GitHub and Devpost demonstrating a taste for practical impact at the intersection of ML, fairness, and systems.
8 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Westview High School
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Massachusetts Amherst