Summary
Alex Levin is a software engineer and machine learning practitioner with 11 years of experience, currently applying algorithmic and data-analysis expertise to product problems at Yelp in San Francisco. He holds advanced training in applied mathematics (PhD-level work at MIT) and a BA in Mathematics from Harvard, bringing rigorous quantitative foundations to production ML systems. His background spans academia, industry internships at Facebook, and quantitative work in finance, giving him a rare mix of research, production engineering, and analytics experience. At Yelp he has focused on integrating ML knowledge across product areas, prioritizing pragmatic solutions that scale. Colleagues describe him as someone who bridges theory and engineering—comfortable deriving models while also shipping robust software. Outside day-to-day work he tends to gravitate toward algorithmic and data-driven challenges that yield measurable product impact.
11 years of coding experience
PhD, Applied mathematics, PhD, Applied mathematics at Massachusetts Institute of Technology
Stuyvesant HS
BA, Mathematics, BA, Mathematics at Harvard University
English, Russian, French, Spanish