Summary
Caio Viturino is an Artificial Intelligence Developer and robotics researcher with a PhD in Electrical Engineering and eight years of experience building AI-driven perception and simulation systems. He has delivered production-ready AI pipelines that cut annotation time from hours to minutes and optimized networks for hardware embedding while working across industry and academia, including Ford and UFBA. As founder of OmniSimulate and a simulation engineer at FS Studio, he blends NVIDIA Isaac Sim, ROS, and reinforcement/imitation learning to prototype digital twins and robust robot controllers. His background spans sensor fusion with FIR, RGB and radar, underwater and soft-robot inspection systems, and real-world UR5 grasping deployments—showing a rare ability to move ideas from research into deployed systems. Based in Salvador, Brazil, he combines deep academic training with hands-on engineering and a knack for shrinking complex AI workloads to fit embedded constraints.
8 years of coding experience
8 years of employment as a software developer
Doutorado, Engenharia Elétrica, Doutorado, Engenharia Elétrica at UFBA - Universidade Federal da Bahia
Bacharel em Engenharia de Controle e Automação, Engenharia Mecatrônica, 7.3, Bacharel em Engenharia de Controle e Automação, Engenharia Mecatrônica, 7.3 at Universidade Salvador
Portuguese, English