Summary
Leandro Passos is a machine learning researcher and postdoctoral fellow with 11 years of experience applying supervised and unsupervised learning, deep learning, anomaly detection, and optimization to image and video tasks. He has held academic and industry roles across Brazil and the UK, including postdoctoral positions at FAPESP and the University of Wolverhampton and research engineering at Petrobras where he bridged model development and scholarly publication. With a PhD in Image and Signal Processing, he teaches intelligent systems and algorithmic complexity and brings practical systems experience from earlier work in software development (VB6, Java, C#) and embedded C. Leandro’s profile blends rigorous academic research with hands-on engineering for production-oriented ML solutions, and he often pairs classical methods with deep models to tackle challenging detection and optimization problems.
11 years of coding experience
6 years of employment as a software developer
Post Doctorate, Computer Science, Post Doctorate, Computer Science at Universidade Estadual Paulista Júlio de Mesquita Filho
Ph.D in Computer Science, Image and Signal Processing - Machine Learning, Ph.D in Computer Science, Image and Signal Processing - Machine Learning at Universidade Federal de São Carlos
Portuguese, English, Spanish, German