Mateo De Mayo

Ph. D. Student at Technical University of Munich

Munich, Bavaria, Germany
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Summary

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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.
code12 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Universidad Nacional de Córdoba
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Stackoverflow

Stats
899reputation
149kreached
10answers
3questions
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Github Skills (200)

material-design-icons10
3d10
game-development10
robotics10
localization10
cpu10
grub10
google-fonts10
open-source10
material-design10
slam10
map-editor10
game-engine9
qt9
godot9

Programming languages (19)

JavaC++CSSRustCCMakeTeXVue

Github contributions (5)

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lolwcteam/lolwc

Aug 2015 - Dec 2018

Contributions:83 commits, 1 PR, 66 pushes in 3 years 4 months
league-of-legendsweb-clientlegendsleague
mateosss/nnet

Aug 2018 - Oct 2021

Neural network implementation and derivation from scratch with Numpy and Cython
Contributions:114 pushes, 19 branches in 3 years 3 months
pythonnumpytorchconvolutional-neural-networkmachine-learning
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