Biomedical Engineer · Universidad Europea de Madrid · 2026
Building at the intersection of hardware, signal processing and AI for healthcare
📬 alonsomartindiez2@gmail.com · LinkedIn · Madrid, Spain
Medical devices that go from CAD to clinical application. Signal processing pipelines that turn raw biosignals into actionable data. Software tools that bridge the gap between clinical needs and engineering solutions.
Currently exploring deep learning for medical imaging and ROS2 for medical robotics.
| Project | Description | Stack |
|---|---|---|
| 🦾 RAMCOD | Real-time myoelectric control training system for prosthetic hand activation. Clinical-grade EMG pipeline, hardware + full simulation mode | Python MATLAB Arduino |
| 🧠 EEG-ML-Alcoholism | Multi-model ML pipeline on EEG signals to detect genetic predisposition to alcoholism. 7 classifiers, feature importance analysis, clinical interpretation | Python scikit-learn XGBoost |
| 🏹 Archery Biomechanics Analyser | Biomechanical analysis platform for the Madrid Archery Team. Dual-camera pose tracking, kinematic extraction, performance correlation | Python OpenCV MediaPipe |
| 🏃 MedSport Monitor | Multi-role sports health monitoring platform. Real-time SpO₂, HR, GPS dashboards for athlete, coach and medical staff | Java Python JavaFX |
Mandibular Osteosynthesis Plate Bending Tool
Designed and manufactured a deep-drawing mould to anatomically pre-bend osteosynthesis plates to the mandibular ramus — eliminating intraoperative hand-bending. Developed with Hospital 12 de Octubre (Madrid). Currently applied in real clinical cases.
SolidWorks Mechanical Design Medical Devices
Signal Processing ── MATLAB (certified) · SciPy · NumPy · EMG · EEG
Machine Learning ── scikit-learn · XGBoost · PyTorch (in progress)
CAD & Simulation ── SolidWorks CSWA (certified) · Ansys · Wokwi
Programming ── Python · Java · Arduino · MATLAB
Medical Imaging ── DICOM · 3D Slicer (in progress)
Tools ── Git · VS Code · Jupyter · JavaFX
🏅 CSWA — SolidWorks Certified Associate · 🏅 MATLAB Associate · 🌍 IELTS 7.0 (C1)
- Deep Learning Specialization — deeplearning.ai
- Medical image segmentation with MONAI
- ROS2 for medical robotics simulation
- First contribution to an open-source medical imaging project
→ See the full roadmap: ideas-and-roadmap