Edwin Montufar is a Principal Machine Learning Scientist with 13 years of experience applying ML to drive business value, currently based in Miami and leading ML efforts at Grainger. He has designed and deployed production systems for record linkage, direct mail optimization, vector search for HR review analysis, and early-life customer value modeling, consistently turning research into scalable pipelines. Comfortable across the stack, he builds ELT workflows with tools like Prefect/DBT, deploys APIs and vector databases, and mentors interns and teams to elevate applied research. Equally curious and pragmatic, he has a background in mathematics and a history of creating practical solutions—from job recommendation engines for underserved communities to automated reporting and time-series forecasting. Notably, he pairs experimentation-driven decisions with careful productionization, ensuring models deliver measurable business impact.
13 years of coding experience
9 years of employment as a software developer
Mathematics, Mathematics at University of Illinois Urbana-Champaign
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Edwin Montufar - Principal Machine Learning Scientist at Grainger