Summary
Camilo Sartori is an AI research engineer and postdoctoral researcher based in Barcelona with 13 years of interdisciplinary experience at the intersection of computer science, philosophy, math, and art. He studies the “architecture of error,” exploring how human and artificial systems fail differently, and connects computational optimization, metaheuristics, and visualization to make algorithm behavior more interpretable. His background spans applied engineering—building production control systems for mining, big-data urban mobility pipelines, edge computer-vision prototypes, and large-scale static malware analysis—to academic research culminating in a PhD in Artificial Intelligence. As an adjunct professor of machine learning and cloud computing, he blends hands-on systems development with theoretical insight, and his training in philosophy of science adds a rare conceptual rigor to his technical work.
13 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Universitat Autònoma de Barcelona
Diplomado en Filosofía de la Ciencia con Mención en Filosofía de la Física Philosophy, Diplomado en Filosofía de la Ciencia con Mención en Filosofía de la Física Philosophy at Instituto de Filosofía y Ciencias de la Complejidad (IFICC)
Master's degree Computer Science, Master's degree Computer Science at Pontificia Universidad Católica de Valparaíso
Ingeniería de ejecución en Informática Ingeniería informática, Ingeniería de ejecución en Informática Ingeniería informática at Universidad de Los Lagos