I'm currently a 4th-year student in Intelligent Systems Engineering at UIE Campus Coruña, with a strong focus on AI applications in motorsport analytics. I'm also an alumnus of the Engineering Summer Programme (2023) at Girton College, Cambridge University, where I gained foundational knowledge in quantum mechanics, jet engines, and nanotechnology.
Continuously expanding my expertise through self-directed learning, I have completed the DeepLearning Specialization by DeepLearning.AI, among other certifications and courses in AI and data science.
- 🎓 4th-year Intelligent Systems Engineering - UIE Campus Coruña
- 🏛️ Engineering Summer Programme (2023) - Girton College, Cambridge University
- 📚 Deep Learning Specialization - Andrew Ng (Coursera)
- 🔥 PyTorch for Deep Learning Professional Certificate - Laurence Moroney (Coursera)
- 🔬 IBM Deep Learning with PyTorch, Keras and Tensorflow - Professional Certificate (Coursera)
- 📊 DeepLearning.AI Data Analytics Professional Certificate - Sean Barnes (Coursera)
🏁 F1 AI & Data Analytics Specialist
- Developing multi-model AI systems for Formula 1 strategy optimization
- Research focus on rule-based expert systems, predictive modeling and agentic AI
💡 AI-Powered Sports Analytics Enthusiast
- Specialized in machine learning, deep learning, and intelligent systems
- Passionate about extracting insights from telemetry data and race dynamics
🌱 Continuous Learner
- Currently as an AI and Data Intern in NTT Data Spain, developing my skills in agentic AI
- Always exploring new AI applications in motorsport analytics
- Multi-modal AI systems (computer vision, NLP, time-series analysis)
- Deep learning for complex pattern recognition in racing data
- Intelligent systems, expert rule engines and agentic AI for strategic decision-making
- Interactive dashboards for real-time race strategy optimization
- Predictive analytics for performance trends under varying conditions
An integrated F1 Strategy Assistant that combines different AI models to provide recommendations for race engineers. It leverages multiple AI methods—from Deep Learning and NLP to expert systems and predictive modeling—to optimize Formula 1 race strategies.
🔗 github.com/VforVitorio/F1_Strat_Manager
Project focused on identifying and classifying F1 teams from race images and videos.The project also includes a feature that draws a line displaying the gap between cars in both meters and seconds. Extension of the Team Detection modelling made in F1 Strat Manager AI.
🔗 github.com/VforVitorio/F1_AI_team_detection
F1 telemetry analysis tool with multimodal input and automatic reports, made with Streamlit and FastAPI. This project enables comprehensive analysis and visualization of Formula 1 telemetry data.
🔗 github.com/VforVitorio/F1_Telemetry_Manager
Responsive websites and apps built with HTML, CSS, JavaScript, and Reflex for seamless UX.
🔗 SailGreen, sustainable ship renting idea
🔗 My personal Portfolio, built entirely with Reflex
Gymnasium-based simulations exploring reinforcement learning in dynamic environments.
🔗 github.com/VforVitorio/PLE03
Final project of Machine Learning subject made alongside @Santisoutoo, first semester of third year.
🔗 https://github.com/Santisoutoo/aprendizaje_autom-tico
🚀 Ready to build something amazing together? Let's connect!
⚡ Always open to discussing AI, Formula 1, and innovative projects ⚡






