Alon Ragoler
Incoming Agent SWE Intern at Machine Learning at Berkeley
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAlon Ragoler is a pragmatic software engineer and rising SWE intern based in the San Francisco Bay Area, combining front-end and full-stack web development with hands-on machine learning and AI agent deployment. A UC Berkeley EECS student and longtime math enthusiast (combinatorics), he has built educational platforms and led technical efforts at Mustang Math, Daily Challenge with Po-Shen Loh, and Bit By Bit Coding while coaching and expanding STEM programs locally. He’s contributed to ML at Berkeley by developing and deploying AI agents on Kubernetes, placed highly in Optiver’s algotrading challenge, and earned recognition in AI safety research. Comfortable spanning product-facing UI work to backend systems, he brings a rare mix of teaching experience, competitive problem-solving, and production ML engineering for someone early in their career.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Electrical Engineering and Computer Science, Bachelor's degree, Electrical Engineering and Computer Science at University of California, BerkeleyEastlake High School
English, Spanish, Hebrew
Github Skills (21)
nextjs10
browser10
react10
static-site-generator9
vercel9
selectize9
compiler9
react-framework8
server-rendering8
angularjs8
ssg8
protractor8
hybrid8
grunt-task7
i18next6
Programming languages (5)
Github contributions (5)
alonn24/learnings
Sep 2020 - Nov 2025
Just a learning repo
Contributions:4 PRs, 45 pushes, 6 branches in 5 years 2 months
javascriptpython
alonn24/adventofcode
Dec 2017 - Nov 2025
adventofcode.com
Contributions:47 PRs, 113 pushes, 54 branches in 7 years 11 months
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