Summary
Gustavo Millen is a Staff Machine Learning Engineer with nine years of experience applying ML and deep learning to real-world problems, from EEG signal research in academia to large-scale credit risk modeling at Nubank. With a M.Eng. in Biomedical Engineering and a background in Mechatronics, he blends strong signal-processing foundations with practical production ML leadership across multiple senior roles at Nubank and Globo. He has driven customer-management and risk systems in one of Latin America’s largest fintechs, emphasizing high performance, ownership, and measurable business impact. Previously a neuroscience researcher at UFRJ, he brings domain depth in physiological data that informs robust feature engineering and model design. Gustavo is active in the data science community via his blog and GitHub, and he routinely translates research-grade techniques into scalable solutions for product teams.
9 years of coding experience
7 years of employment as a software developer
Master of Engineering (M.Eng.) Biomedical/Medical Engineering, Master of Engineering (M.Eng.) Biomedical/Medical Engineering at Federal University of Rio de Janeiro
Engineer's degree Mechatronics Robotics and Automation Engineering, Engineer's degree Mechatronics Robotics and Automation Engineering at Instituto Federal de Educação, Ciência e Tecnologia do Sudeste de Minas
Mestrado Integrado em Engenharia Eletrotécnica e de Computadores, Mestrado Integrado em Engenharia Eletrotécnica e de Computadores at Instituto Superior Técnico
English, French, Spanish, Portuguese