Summary
Andres Garcia is an R&D Computer Vision Engineer with 8 years of experience, currently building camera-based perception features for Continental’s L4 self-driving stack. He holds a Master’s in Computer Science from Tecnológico de Monterrey and a background in digital systems and robotics, blending academic research—like an Automatic Brake Driver Assistance System using deep learning and fuzzy logic—with hands-on implementation of calibration, stereo vision, and classic CV algorithms. Proficient in C/C++, Python, and ROS/ROS2, Andres has also mentored Udacity students on self-driving projects and developed production-ready ML pipelines using TensorFlow and AWS. Comfortable moving between research and production, he focuses on robust multisensor fusion and practical algorithm deployment for automotive safety.
8 years of coding experience
Master's degree in Computer Science, Master's degree in Computer Science at Tecnológico de Monterrey
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Nottingham
English, Spanish, German