Available for collaborations · Barcelona, Spain
I build computer vision and deep learning systems for robotics and real-world perception — from autonomous vehicles and agricultural robots to real-time people tracking and foveated small-object detection.
I'm an Industrial Electronics & Automatic Control Engineer with an MSc in Robotics and Automatic Control from the Polytechnic University of Catalonia (UPC). Today I work as an AI Engineer at Escribano Mechanical & Engineering, building real-time tracking and deep learning perception for autonomous robotic systems.
My path runs through autonomous racing, agricultural robots, astrophysics instrumentation and award-winning hackathons. The common thread: turning cameras, sensors and neural networks into systems that perceive and act in the real world.
“There may be no better way to communicate my passion and expertise than through the projects showcased below. Each one represents a unique problem solved and a step forward in my journey as an engineer.”
Escribano Mechanical & Engineering (EM&E) · Barcelona
Earth Rover
Bertrandt
Canary Islands Institute of Astrophysics (IAC)
UPC ecoRacing · Formula Student
Alisys Robotics
Modernized the Teide Observatory night-telescope control systems (ROS + pyQt) and built a hardware-agnostic, Numba-accelerated pointing estimator that maximizes satellite captures per night — 0.9 s average wait, ~3.2 images/min.
A Blender-based synthetic pipe-crack generator producing diverse, automatically labeled images for advanced segmentation and YOLOv8 training — tested on real images with strong results on challenging scenarios.
Generating a top-view map (Inverse Perspective Mapping) directly from a front camera view using Generative Adversarial Networks.
Overall winners in under 36h: real-estate interior remodeling fusing the Segment Anything Model, the Restb.ai API and Stable Diffusion, with a VR/Blender spherical-projection UI.
Camera + LiDAR perception for UPC ecoRacing's first autonomous vehicle, leading to the 2nd best autonomous car at Formula Student Spain 2020/21.
A camera-based perception system for UPC ecoRacing's second-generation autonomous car during the 2021/22 season.
A personal improvement on closest-frontier autonomous exploration in ROS2 — mapping and navigating unknown indoor environments.
Inspired by the US Open final (Alcaraz vs. Ruud): YOLO detects and classifies both players, and planar homographies project a live top-view court to visualize their movement heatmaps.
Open to AI / computer-vision & robotics opportunities and collaborations.
vesgarcia99@gmail.com