Mateo De Mayo is a Ph.D. student at TUM CVG researching computer vision and SLAM/VIO with 11 years of software engineering experience across academia and industry. He previously led R&D efforts in visual-inertial tracking for XR at Collabora, contributing to the Monado ecosystem, and brings hands-on expertise in game and full-stack development from earlier roles. Comfortable bridging research and product, Mateo combines rigorous academic training (MSc in Computer Science) with practical systems implementation for real-time perception. Based in Munich, he focuses on making visual odometry and sensor fusion robust for real-world AR/VR applications. A pragmatic engineer, he often moves between low-level sensor integration and higher-level algorithm design, which helps translate prototypes into deployable systems.
12 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Universidad Nacional de Córdoba
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