Summary
Sergio Serrano is a research scientist and PhD-trained computer scientist with 11 years of experience building C++ and Python systems for computer vision, reinforcement learning, and probabilistic graphical models. He has applied these skills to real-world projects—from an automated surveillance system detecting suspicious human and vehicle behaviors to service robotics for domestic assistance at the Mexican Robotics Tournament. Comfortable with TensorFlow, TensorForce, ROS and OpenCV, he bridges experimental research and production-ready software, and has taught a practical 12-hour machine learning course to transfer that knowledge. His doctoral work focused on reducing data costs for embodied agents by reusing cross-agent knowledge, reflecting a blend of theoretical rigor and engineering pragmatism. Based in Puebla, Mexico, Sergio combines mechatronics roots with advanced ML research—an ex-mecha pilot turned PhD who codes end-to-end systems that bring robots and agents closer to real-world autonomy.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Instituto Nacional de Astrofísica, Óptica y Electrónica
Bachelor of Engineering - BE, Mechatronics, Robotics, and Automation Engineering, Bachelor of Engineering - BE, Mechatronics, Robotics, and Automation Engineering at Instituto Tecnológico de Los Mochis