Summary
Carlos Valadares is an AI engineer specializing in prediction and planning for autonomous driving with nine years of hands-on research and engineering experience across industry and national labs. Based in Paris, he has advanced perception and RL solutions for self-driving stacks at Stellantis and CEA, combining deep learning, computer vision, and reinforcement learning with C/C++ and Python implementation skills. His work spans simulation-driven RL in CARLA to real-world perception projects for industrial partners, and he has a background applying neural networks to optical-holography and fault-tolerant FPGA systems. Known for bridging research and product needs, he brings both academic rigor from his master’s in advanced imaging and practical deployment experience in automotive perception.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Advance Imaging and Material Appearance, Master's degree, Advance Imaging and Material Appearance at Université Jean Monnet Saint-Etienne
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Universidade Federal de Pernambuco
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Télécom Saint-Etienne
Portuguese, English, French