Bridging the gap between software and hardware. I am passionate about Computer Vision, ROS, and building scalable solutions. I enjoy the process of trial and error to bring code to life in the physical world.
>> Loading modules...
>> TensorFlow initialized.
>> Kinova_Driver ready.
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I am a Robotics Engineer graduated from the University of Alicante, combining a strong mathematical background with practical experience in Computer Vision and System Control.
Beyond the code, I am driven by a startup mindset. I don't just want to build robots; I want to build solutions. My goal is to tackle challenges ranging from everyday automation to critical industrial problems.
Expanded my knowledge in mathematics and physics. Started my coding journey with Python and basic HTML/CSS, discovering a passion for problem-solving.
Acquiring deep knowledge in Control Systems, ROS/ROS2, and Computer Vision. Focusing on applied physics and scalable robotic solutions.
Developed a handwritten equation solver using CNNs and SVMs to overcome dataset limitations.
Built an immersive Digital Twin interface in Unity for safe teleoperation and trajectory planning of Kinova robots via Meta Quest 2.
Implemented a full autonomous logistics system with ROS 2, Nav2, and MVSim.
Developed complex industrial robot simulations for real-world clients using FANUC Roboguide, focusing on multi-robot sync and welding processes.
Defended Bachelor's Thesis on real-time person tracking and gesture flight control using YOLOv8-Pose, BoT-SORT, OSNet Re-ID, and 3-axis PID control on DJI Tello.
Admitted and enrolled for the 2026–2027 academic year. Specializing in advanced control systems, autonomous robotics, perception, and industrial automation.
App that scans handwritten equations via camera and solves them in real-time. Uses a hybrid model (CNN + SVM) to optimize accuracy despite a limited dataset.
Immersive VR interface to control a 6-DOF Kinova MICO2 robot. Implements a "Digital Twin" system for trajectory planning using virtual waypoints before physical execution.
Complete autonomous logistics system using ROS 2 and Nav2. Features graph-based navigation, mission control GUI, and pallet manipulation in MVSim.
Real-time autonomous human tracking and gesture-based flight control on low-cost UAVs via monocular vision, deep Re-ID (OSNet), anatomical depth estimation, and decoupled 3-axis PID.