I am currently completing my degree 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 environments, combining AI techniques with real-world applications.
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 projects throughout my university studies.
Machine Learning: Comprehensive data science project with Jupyter notebooks for EDA, regression modeling, and clustering analysis. Features organized model persistence and systematic versioning for continuous ML workflow improvements.
APIs REST Serverless web application using FastAPI + Reflex to display Formula 1 telemetry data from FastF1 API. Implements CRUD operations with Supabase integration for real-time F1 data visualization and race analytics.
Developed in collaboration with @VforVitorio using Git workflows and branching strategies, demonstrating teamwork and version control skills essential for professional software 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 ✅
