Summary
Felipe Lodur is a Data Science Manager based in São Paulo with nine years of experience building and leading ML teams to fight financial crime and manage credit risk at scale. Currently leading Machine Learning at Brex, he designs AI solutions that balance risk mitigation with strong customer experience and drives cross-team ML rituals across the company. Previously he led AML efforts at Nubank, created production voice biometry and fraud prevention systems that saved millions at Minds Digital, and helped launch a high-impact Generative AI course with DeepLearning.AI. He combines hands-on expertise in computer vision and deep learning with people leadership, mentorship, and curriculum design, having taught and mentored in academia and industry programs. Felipe’s background includes an MS in Computer Science from Georgia Tech and international study experiences, reflecting a blend of rigorous research, practical deployment, and global perspective.
9 years of coding experience
5 years of employment as a software developer
Specialization Data Science, Specialization Data Science at Instituto Tecnológico de Aeronáutica - ITA
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at PUC Minas
One Term Exchange Program Computer Science, One Term Exchange Program Computer Science at Wrocław University of Science and Technology
TOP China 2016 International Program, TOP China 2016 International Program at Peking University
International Program Trans-disciplinary Innovation Program, International Program Trans-disciplinary Innovation Program at The Hebrew University of Jerusalem
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Portuguese, English, Spanish