Vitoria-Gasteiz, Basque Country, Spain
Engineering made sense to me early on, but conventional engineering felt disconnected from what I actually cared about: building technology that directly changes how people live and recover. Medicine alone wasn’t my path either. Biomedical engineering was the answer, the only discipline that sits precisely at that intersection. I’m currently in my third year of Biomedical Engineering at the University of Deusto, where the programme has been hands-on, multidisciplinary, and technically demanding. My strongest focus has been wearable health monitoring: I built ParkiSense, a wearable prototype that tracks Parkinson’s symptoms through tremor, heart rate, and EMG signals, classifying patterns with a Random Forest model. I’ve also worked on the surgical and imaging side of biomedical engineering; designing a 1-DOF haptic master-slave robotic gripper for surgical training, programming a TIAgo collaborative robot for post-operative rehabilitation exercises within a simulated Total Knee Arthroplasty case, and analysing MRgFUS thalamotomy outcomes in three real patients with Essential Tremor and Parkinson’s, achieving up to 73.85% tremor reduction at six months. From September 2026, I’ll be joining the mHealth research group at the University of Southampton as a Research Intern, working under the supervision of Dr Adriana Wilde on the extension of an existing mobile application for patients with POTS (Postural Orthostatic Tachycardia Syndrome). Built in React Native and SQLite, the app supports symptom self-management. My work will focus on integrating physiological data; heart rate and HRV; to enhance the clinical value of the platform. I’m looking for graduate or junior engineer opportunities; whether in R&D, surgical robotics, active implantable devices, or SaMD; within European companies where engineering rigour and clinical impact go hand in hand. Rotational graduate programmes with exposure to quality and regulatory functions are of particular interest. If my profile is relevant to what you’re building, feel free to connect!
Throughout my Biomedical Engineering degree, I've worked on a range of hands-on projects in medical technology. These four best reflect the breadth of my work, spanning embedded systems, robotics, machine learning and neuroimaging: PARKISENSE ▸ Individual lead End-to-end wearable health monitor (Arduino, Raspberry Pi): EMG and heart rate acquisition, Random Forest symptom classification, and automatic session reports generated by a local AI agent (Ollama) via a PyQt6 dashboard. HAPTIC GRIPPER 1.0 ▸ Hardware lead, AI integration Master-slave robotic gripper restoring haptic force feedback for surgical robotics training, using FSR sensors, Arduino, and a Streamlit dashboard with ML grip classification. Awarded Matrícula de Honor. MRGFUS THALAMOTOMY ▸ Segmentation lead Led MRI segmentation for three Essential Tremor/Parkinson's patients undergoing MRgFUS thalamotomy, using ITK-SNAP and SPM/CAT12 for VIM targeting. Up to 73.85% tremor reduction at 6 months. TOTAL KNEE ARTHROPLASTY (TKA) ▸ Robotics programming Programmed a TIAgo collaborative robot to deliver post-operative rehabilitation exercises within a team-simulated Total Knee Arthroplasty case, covering CT-based 3D reconstruction and custom implant design. Together, these projects reflect a consistent focus: applying engineering rigor to real clinical problems, from wearable diagnostics to surgical robotics and treatment planning. See the Featured section below for repositories and full technical reports.