AI Researcher | Emotion-Aware Systems | LLM Architect | Ph.D. in Artificial Intelligence
Building human-centered, privacy-preserving, and explainable AI from the brain to the browser
Barcelona, Spain 🇪🇸
I'm a multi-domain AI scientist with a flair for solving complex real-world problems through LLMs, neurosignal decoding, and federated machine learning. Whether it's building real-time emotion engines, orchestrating scalable AI pipelines, or designing GPT-based education tools, I thrive at the intersection of research, engineering, and innovation.
🔧 I build systems that are:
- 💡 Explainable — not just accurate, but understandable
- 🔐 Privacy-preserving — keeping data where it belongs
- ⚙️ Scalable — from edge devices to HPC clusters
- 🎯 Domain-specific — tuned to education, neurotech, and health
| Role | Organization |
|---|---|
| 🧬 Senior ML Researcher | Eurecat - Technology Center of Catalonia |
| 📚 AI Consultant | Tuttify.io — Edtech powered by emotion AI |
| 🧠 LLM Research Consultant | Allen Institute for AI (AI2) |
| 🚀 Project | 🔎 Description |
|---|---|
| Fed-ReMECS | Real-time federated emotion classifier (EEG, PPG, EDA) |
| DFL Framework | Modular federated learning with Docker, MQTT, HPC |
| CaamFace (Tuttify) | Facial affect detection for emotionally adaptive learning |
| LLM Content Generator | GPT-4o-mini powered content engine with S3, MongoDB, FastAPI |
| NeuroDash | Interactive dashboard for real-time biosignal visualization |
- 🥇 Vicente López Research Award, Eurecat
- 📖 Published in Springer, Frontiers, Methods, and more
- 👨🏫 Mentored students with AI/Neuro papers at top-tier conferences
🧩 AI isn’t just about intelligence. It’s about insight. Let’s make it meaningful.