Austin Sun is a software engineer with 11 years of experience building ML-driven products and infrastructure across startups and large tech firms in the San Francisco Bay Area. He has shifted from ML-focused internships (Roblox, Nuro) and academic research at UC Berkeley to production roles at Scale AI, Ramp, and currently Arena, delivering solutions that bridge AI, product, and business needs. Trained in EECS and Business from UC Berkeley's M.E.T. program, he combines technical depth in machine learning, NLP, and ML infra with product instincts honed through consulting and cross-functional leadership. Notable projects include unsupervised NLP clustering for game taxonomy and high-accuracy spam classification research, reflecting both applied ML and practical systems deployment. He’s drawn to the ethical and philosophical dimensions of AI, seeking work that balances impact, usability, and responsible design. Colleagues describe him as someone who enjoys solving hard problems with people, translating research insights into tangible product outcomes.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science, Electrical Engineering and Computer Science & Business Administration, Bachelor of Science, Electrical Engineering and Computer Science & Business Administration at University of California, Berkeley
Bachelor of Science - BS, Business Administration, Bachelor of Science - BS, Business Administration at University of California, Berkeley, Haas School of Business
High School Diploma, High School Diploma at Troy High School
Bachelor of Science - BS, Bachelor of Science - BS at UC Berkeley Management, Entrepreneurship, & Technology (M.E.T.) program
Bachelor of Science - BS, Electrical Engineering and Computer Science, Bachelor of Science - BS, Electrical Engineering and Computer Science at UC Berkeley College of Engineering
International Baccalaureate Diploma Programme, International Baccalaureate Diploma Programme at International Baccalaureate
Contributions:10 PRs, 55 pushes, 3 branches in 3 months
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