Eric Wang is a software engineer based in Berkeley with a decade of hands-on experience blending machine learning, quantitative research, and product engineering. He has interned at market-leading firms including Bloomberg and Jane Street and contributed to research at Berkeley AI Research on LLM behavior, demonstrating a curiosity for both applied and theoretical problems. As a member of UC Berkeley’s selective M.E.T. dual-degree program, he pairs engineering rigor with business acumen and a track record of strong academics. Eric’s background spans trading-focused ML and risk work, quantitative research tooling, and biotech-focused software at Benchling, signaling an ability to move between domains and productionize complex models. He’s notable for combining an elite academic pedigree (ACT 36, top program selection) with practical, high-impact internships that bridge research and industry.
10 years of coding experience
4 years of employment as a software developer
Concurrent Enrollment, GPA: 4.0, Concurrent Enrollment, GPA: 4.0 at De Anza College
Bachelor's degree, Computer Science, GPA: 4.0, Bachelor's degree, Computer Science, GPA: 4.0 at University of California, Berkeley
Nanodegree, Computer Science, Nanodegree, Computer Science at Udacity
High School Diploma, 4.0 Unweighted GPA, High School Diploma, 4.0 Unweighted GPA at Monta Vista High School
Contributions:35 commits, 2 PRs, 31 pushes in 3 months
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