Summary
Raul Ferreira is an Innovation Manager and PhD-trained computer scientist with 12 years of experience building AI-driven products and leading cross-disciplinary teams in industry and academia. He has driven European R&D projects in Explainable and Hybrid AI for automotive and safety-critical systems, combining hands-on ML and computer vision work with project coordination across industry and university partners. His background spans technical leadership roles at Continental, applied research as an MSCA-funded doctoral researcher at CNRS/LAAS, and teaching positions delivering machine learning and embedded-systems courses. Raul’s blend of publishing at top conferences (AAAI, ECAI, DSN) and practical delivery for major corporates shows he moves ideas from papers to production. Comfortable with both large-system engineering and research rigour, he has repeatedly translated complex academic methods into deployable solutions for automotive and utility sectors. Based in Toulouse, he brings a rare mix of academic pedigree, EU project experience, and product-focused execution.
12 years of coding experience
14 years of employment as a software developer
PhD, Artificial Intelligence, Robotics, PhD, Artificial Intelligence, Robotics at Université Paul Sabatier Toulouse III
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at UFRRJ - Universidade Federal Rural do Rio de Janeiro
Master's degree, Systems Engineering and Computing, GPA 3.5, Master's degree, Systems Engineering and Computing, GPA 3.5 at Universidade Federal do Rio de Janeiro
Portuguese, English, Spanish, French