Summary
Matías Tailanián is a CTO and machine vision specialist with 11+ years applying signal processing, image analysis, and machine learning to industrial problems. He pairs academic rigor—a PhD in Computer Science and an MSc from École Normale Supérieure de Cachan (mention très bien)—with hands-on product delivery across startups and engineering consultancies. His 2024 doctoral work advanced unsupervised and self-supervised anomaly detection for industrial imaging using classical methods and modern generative models like Normalizing Flows and Diffusion Models. He has led R&D teams and built deployable solutions in sectors from precision agriculture and 3D reconstruction to computer-aided surgery. Equally comfortable prototyping algorithms and running engineering teams, he focuses on turning theoretical advances into reliable, production-ready vision systems. Based in Uruguay, he brings a rare blend of applied research depth and practical industrial impact.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Image processing, Master's degree, Image processing at Facultad de Ingeniería - Universidad de la República - Uruguay
Doctor of Philosophy - PhD, Computer Science, Ph.D., Doctor of Philosophy - PhD, Computer Science, Ph.D. at Universidad de la República
Master of Science - MSc, Computer Vision, Machine Learning and Applied Mathematics, mention très bien (higest honors), Master of Science - MSc, Computer Vision, Machine Learning and Applied Mathematics, mention très bien (higest honors) at École Normale Supérieure de Cachan