Hello! I´m Víctor Vega Sobral
AI & Intelligent Systems Software Engineer
4th-year Intelligent Systems Engineering student at UIE Campus Coruña and AI Software Engineer. Certified in Deep Learning Specialization by DeepLearning.AI, IBM Deep Learning with PyTorch, Keras and TensorFlow Professional Certificate, and currently pursuing Data Analytics Specialization. I design and deploy AI solutions for highly complex, data-driven environments, and I'm passionate about applying AI to Formula 1.
About Me
Professional Summary
Skills & Expertise
Python | matplotlib | seaborn | numpy
Pandas
scikit-learn
Streamlit
PyTorch
TensorFlow
Git | GitHub
Docker
Deep Learning | AI | Computer Vision | NLP | Machine Learning | Expert Systems
Spanish: Native | English: IELTS 8
Work Experience
Student Representative – CEUNE & ACSUG
2023–Present · Spain
Invited by Dean to run for student representative, elected by fellow students for both national (CEUNE) and regional (ACSUG) councils. Participate in higher education policy discussions and quality assessment processes. Advocate for UIE and student interests at institutional level.
Education
UIE, Universidad Intercontinental de la Empresa
Fourth-year student of Intelligent Systems Engineering.
A Coruña Campus.
Professional Skills
Leadership & Representation
Public Speaking & Technical Presentations (25+)
Cross-cultural Collaboration
Exceptional Self-directed Learning
Project Dedication & Passion-driven Development
Problem-solving & Research Methodology
My Projects
F1 Strategy AI Manager
An AI-powered, open-source system for recommending optimal race strategies in Formula 1, developed as an ongoing final project for the 3rd year of UIE Intelligent Systems Engineering. The models are trained on real-world data from the 2023 Barcelona Grand Prix, leveraging machine learning to enhance race decision-making. This project is under active and continuous development.
Technologies: Jupyter Notebook, Python, Machine Learning, FastF1, Data Analysis
F1 AI Team Detection & Race Analysis
A specialized computer vision system that evolved from the F1 Strategy AI Manager project. Built with YOLOv12, it automatically detects and classifies Formula 1 teams in race footage, estimates real-time distances and time gaps between cars, enabling advanced race analytics.
Technologies: YOLOv12, OpenCV, Python, Jupyter Notebook, Machine Learning, Computer Vision
Aprendizaje Automático - Machine Learning Academic Resource
A comprehensive academic resource for the subject 'Aprendizaje Automático' (Machine Learning). Throughout this course, I developed and documented a variety of practical exercises and projects using Jupyter Notebooks, focusing on foundational concepts and real-world applications of machine learning. By employing Python and its most popular data science libraries, I explored data analysis, model development, and performance evaluation in an interactive and reproducible environment.
Technologies: Python, Jupyter Notebook, scikit-learn, pandas, matplotlib, Machine Learning, Data Science
Blog
I explore the cutting-edge intersection of Formula 1 and Artificial Intelligence, examining how AI-driven insights can transform race strategies, optimize performance, and elevate the fan experience. These articles are also available on my LinkedIn profile in the featured section.
Decoding the Grid: Teaching AI to See Formula 1
A computer vision pipeline combining YOLOv12 with OpenCV for real-time F1 team detection and gap calculation. Teaching machines to recognize McLaren's papaya orange and Ferrari's iconic red while calculating physical distances between cars at 300+ km/h speeds.
Read MoreBeyond 'Box Box Box': Using AI to Extract Strategic Intelligence from F1 Radio Communications
A specialized 4-stage NLP pipeline that transforms raw radio communications into strategic intelligence. From Hamilton's 'hammer time' to automated processing of team radio messages using Whisper, RoBERTa, and custom BERT models for real-time race strategy insights.
Read MoreContact
Let's Connect!
Feel free to reach out for collaborations, speaking engagements, or just to chat about AI and technology!