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VforVitorio/README.md

Víctor Vega Sobral

4th-year Intelligent Systems Engineering at UIE Coruña · AI & Formula 1 analytics

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I work mostly on AI applied to Formula 1: strategy systems, telemetry analysis, computer vision over race footage and a few side experiments outside motorsport. Currently AI & Data intern at NTT Data Spain, focused on agentic AI. Alumnus of the Cambridge Engineering Summer Programme (2023, Girton College).

Featured projects

F1-StratLab — multi-agent F1 strategy system

F1 StratLab

Final Degree Project. Seven ML models (XGBoost, TCN + MC Dropout, LightGBM, RoBERTa, SetFit, BERT-large, Whisper) plus a LangGraph multi-agent orchestrator and a 2D race replay UI. RAG over FIA regulations on Qdrant.

github.com/VforVitorio/F1-StratLab · Landing · DeepWiki

F1 AC Digital Twin — Assetto Corsa behavioral RL

Formula 1 digital twin trained with behavioral cloning and reinforcement learning over Assetto Corsa, with a Grafana / InfluxDB / Apache Kafka monitoring stack.

github.com/VforVitorio/F1_AC_Digital_Twin

F1 AI Team Detection — YOLOv12 over race footage

Team detection demo

Detection and classification of F1 teams from race images and videos, with a derived feature that draws car-to-car gap in metres and seconds.

github.com/VforVitorio/F1_AI_team_detection

F1 Telemetry Manager — multimodal telemetry analysis

F1 Telemetry Manager demo

Streamlit + FastAPI tool for telemetry inspection, multimodal input and automatic reports. Vendored as a git submodule inside F1-StratLab.

github.com/VforVitorio/F1_Telemetry_Manager

lmcode — local coding agent CLI on LM Studio

A small CLI coding agent that runs entirely against a local LM Studio server. No cloud, no telemetry. Personal sandbox to explore tool-using agents on consumer hardware.

github.com/VforVitorio/lmcode

variational_quantum_classifier — quantum ML on Rigetti

Variational quantum classifier built with PyQuil over Rigetti's NISQ infrastructure, applied to spiral dataset separation. Side experiment outside motorsport.

github.com/VforVitorio/variational_quantum_classifier

Tech I use day to day

Python · PyTorch · TensorFlow · scikit-learn · LangChain · LangGraph · FastAPI · Streamlit · Docker · pandas · NumPy · Plotly · Git

Education and certifications

  • Intelligent Systems Engineering — UIE Coruña (4th year)
  • Engineering Summer Programme 2023 — Girton College, Cambridge University
  • Deep Learning Specialization — DeepLearning.AI
  • PyTorch for Deep Learning Professional Certificate — Coursera
  • IBM Deep Learning with PyTorch, Keras and TensorFlow — Coursera
  • DeepLearning.AI Data Analytics Professional Certificate — Coursera

Contact

Portfolio · LinkedIn · Medium

Profile views

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  1. F1-StratLab F1-StratLab Public

    AI Models for Strategy Recommendations in Formula 1 races. Final Thesis Project of UIE Intelligent Systems Engineering (work in progress).

    Jupyter Notebook 10

  2. F1_AI_team_detection F1_AI_team_detection Public

    Computer vision project using YOLO to detect and classify Formula 1 teams in race images and videos. It also estimates and visualizes the distance between cars in real-time, displaying the gap in b…

    Jupyter Notebook 5

  3. F1_Telemetry_Manager F1_Telemetry_Manager Public

    F1 telemetry analysis tool with multimodal input and automatic reports, made with Streamlit.

    Python 3 1

  4. F1_AC_Digital_Twin F1_AC_Digital_Twin Public

    A F1 digital twin trained through BL and RL for Asseto Corsa. Dashboard made with Grafana, InfluxDB and Apache Kafka

    Jupyter Notebook 2

  5. lmcode lmcode Public

    A local coding agent CLI powered by LM Studio. Open source, fully private, no cloud required. (work in progress)

    Python 3

  6. variational_quantum_classifier variational_quantum_classifier Public

    A quantum machine learning experiment in PyQuil running against Rigetti's Quantum Virtual Machine, classifying a notoriously hard spiral dataset under realistic NISQ constraints.

    Python 1