I am a graduate in Artificial Intelligence Engineering, with a strong interest in deep learning, natural language processing (NLP), and data analytics.
I am particularly passionate about the aerospace sector and working on projects involving agent-based AI systems applied to aviation. I enjoy developing intelligent solutions that simulate and optimize complex systems.
Looking at this language distribution chart, you can see that Jupyter Notebook dominates at 96.21% of my codebase, which directly reflects my extensive work in data science, engineering and machine learning.
Machine Learning: Comprehensive data science project with Jupyter notebooks for EDA, regression modeling, and clustering analysis. Features organized workflows and reproducible experimentation.
APIs REST: Serverless web application using FastAPI + Reflex to display Formula 1 telemetry data from FastF1 API. Implements CRUD operations with Supabase integration.
Developed in collaboration with @VforVitorio using Git workflows and branching strategies, demonstrating teamwork and version control skills essential for professional development.
- 🛩️ Airport Repository - Air Traffic Control simulator with multi-agent systems
- Developing ATC performance evaluation system.
- Creating automated reports on controller decision-making under various scenarios
- Implementing realistic airport operations simulation with multiple aircraft agents using a 3D simulator (X-Plane 12)
- 🎓 4th-year Intelligent Systems Engineering - UIE Campus Coruña ✅
- 📜 Deep Learning Specialization - Andrew Ng (Coursera) ✅
- 📜 DeepLearning.AI Data Analytics Professional Certificate ✅
- 📜 IBM Deep Learning with PyTorch, Keras and Tensorflow - Professional Certificate ✅
