Summary
Paulo Mann is an Assistant Professor and AI researcher based in Rio de Janeiro with 11 years of experience applying deep learning and NLP to real-world problems across academia, industry and policy. He holds a PhD in Artificial Intelligence from Universidade Federal Fluminense, where his multimodal social-media analysis work targeted mental health assessment, and he has taught courses from data structures to competitive programming. Paulo has built scalable ML pipelines for Petrobras to extract metadata from petabyte-scale pre-salt reports and developed financial forecasting systems as a research fellow for government Social Wealth Portfolios. His research blends representation learning, explainable AI and social-behavioral modeling, and has been presented at venues such as IEEE and AAAI. Fluent in English, Portuguese and French, he combines rigorous academic research with hands-on engineering to move models from prototype to production-scale data environments.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Universidade Federal Fluminense
English, Portuguese, French