- 🎓 Applied AI researcher at the University of Vigo’s Applied Artificial Intelligence Lab (LIA2), Spain.
- 🔬 Research line: LLM behavior analysis and AI explainability, combining external observation and internal mechanism analysis.
- 🏥 Building and deploying ML systems for healthcare, manufacturing, and logistics.
- LLM behavior analysis across real usage scenarios.
- Explainability methods to better understand model decisions.
- Integration of research workflows with production-ready ML engineering.
- AI R&D @ LIA2 (2023—present): End-to-end ML development and deployment for cross-industry applications.
- Autonomous Systems Team Lead (2021—2023): Led a 28-person AI research team delivering a driverless Formula Student vehicle.
- Open Source: Actively interested in contributing to collaborative AI tooling and research-oriented software.
PyTorch · TensorFlow · Keras · scikit-learn · Pandas · MLflow · DeepStream · TensorRT · YOLO
Python · FastAPI · Node.js · React · Svelte · TypeScript · SQLAlchemy · HTML/CSS · C/C++ · Java
Jetson · ROS · CAN-bus · Docker · Git · Bash · Linux
Open to research collaborations, applied AI roles, and open-source initiatives in trustworthy and explainable AI.




