Quinn Maurmann is a backend-focused software engineer with 11 years of experience applying rigorous mathematical thinking to production systems, currently building Python and Node.js services at Body Labs in Olympia, WA. A former math Ph.D. student with a 3.92 BSc from Brown and an MA from UCLA, he translates statistical and geometric problems into scalable backend and ML/shape-analysis pipelines—most notably an async body-processing API and internal QA for 3D body shape from photos. He has hands-on experience migrating legacy Java services to Amazon infrastructure and shipping features that connect ML outputs to consumer-facing products, such as fashion influencer matching and experimental sizing tools. Quinn combines research-grade quantitative instincts with practical engineering discipline, favoring robust pipelines and measurable QA for complex, real-world data.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.Sc.), Mathematics, 3.92, Bachelor of Science (B.Sc.), Mathematics, 3.92 at Brown University
Master of Arts (M.A.), Mathematics, Master of Arts (M.A.), Mathematics at University of California, Los Angeles
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