Summary
Mateo Restrepo is a Machine Learning Engineer specializing in computer vision with 11 years of experience building and productionizing ML systems across fintech, proptech, and enterprise settings. He holds a PhD in Applied Mathematics and has led ML teams—most recently architecting La Haus’s feature store, personalized recommendation pipelines, and a GPT-4–backed RAG chat system for home-buyer leads. At N-iX he collaborates with Cricut’s ML research team on fine-tuning vision models, deploying content-assistant APIs, and mining semantic embeddings to uncover underserved clip-art topics. His background combines deep quantitative modeling from high-frequency quant systems to applied computer vision, and he brings a practical bent for turning research-grade models into scalable customer-facing services. Based in Medellín, he pairs a strong academic pedigree with hands-on deployment experience and a quirky passion for Go (the game), ping-pong, and culinary experiments.
11 years of coding experience
13 years of employment as a software developer
Gold Medallist Mathematics, Gold Medallist Mathematics at Olimpiadas Colombianas de Matemáticas
Universidad de los Andes
BS Physics, BS Physics at Universidad Nacional de Colombia
PhD Applied Mathematics, PhD Applied Mathematics at Cornell University
Bachiller Lenguas Modernas, Bachiller Lenguas Modernas at Colegio Alemán
German, English, Spanish