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. Junior AI Engineer at NTT DATA Spain (AI/automation projects) and currently focused on building practical systems rather than just prototypes.

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 and race context.

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

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

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

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

Open-source platform for exploring, analysing and consulting Spanish legislation. It combines a FastAPI backend, a React + TypeScript frontend, a knowledge graph, chat tools and interactive dashboards over the legalize-es corpus.

github.com/VforVitorio/LexFlow

Turns Kindle Scribe handwritten notebooks into Obsidian Markdown. Import a Scribe PDF, OCR the handwriting (even math, as KaTeX), review it side by side, then export to your vault.

github.com/VforVitorio/marginalia

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

github.com/VforVitorio/variational_quantum_classifier

• Master's Degree in Artificial Intelligence Research — AEPIA / UIMP (in progress)
• Bachelor's in Intelligent Systems Engineering — UIE Coruña · graduated with a 9.0/10 average (9.7/10 in the final year) and 4 Distinctions (Matrícula de Honor) · thesis awarded Distinction
• 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