About
Data Science & AI student at Universidad Politécnica de Madrid (UPM), focused on shipping production-grade ML and LLM systems end-to-end. Currently building an AI research intelligence platform at Ingenio Labs as an AI Software Engineer, and contributing to the open source projects that power the ML ecosystem.
Passionate about LLM fine-tuning, multi-agent orchestration, and making ML testing rigorous.
Open Source Contributions
Contributor to PyTorch (Meta), Hugging Face Transformers, OpenAI Triton, Apache TVM, NVIDIA TensorRT-Model-Optimizer, Lightning AI, vLLM, OpenAI Agents Python, Tauric Research TradingAgents, and pysystemtrade.
Featured Projects
- TrueRisk: Climate emergency management platform with ML-powered risk scoring for 52 Spanish provinces. 2nd place at Cubepath 2026 Hackathon. (FastAPI, XGBoost, LightGBM, LSTM, TFT, Next.js)
- FractalSig: Hybrid JAX/PyTorch generative model for rough paths with a learned Besov-wavelet decoder and differentiable IDWT. (JAX, PyTorch)
- DistressScreener: Deployed US small-cap distress screener combining 10 bankruptcy and fraud models and about 80 red flags into a 0-100 score; isotonic-calibrated XGBoost (out-of-time AUC 0.80). (Python, FastAPI, PostgreSQL, XGBoost, React)
- YuhoLens: Span-cited English investor memos produced by a full-parameter 14B Qwen fine-tune on a single AMD Instinct MI300X; 4-agent LangGraph pipeline. (Python, LangGraph, vLLM)
- checkllm: A pytest plugin and CLI for testing LLM-powered applications with deterministic checks and LLM-as-judge evaluation. (Python)
- Quant Finance Engine: Event-driven backtesting system with iTransformer forecasting, InvAD crisis detection, and NeuralHRP allocation. (Python, PyTorch, XGBoost)
Education
Bachelor's Degree in Data Science and Artificial Intelligence — Universidad Politécnica de Madrid (UPM). Honors (Matrícula de Honor) in Data Science Programming and Natural Language Processing.
Certifications
- AWS Certified AI Practitioner — Amazon Web Services
- Azure AI Fundamentals — Microsoft
- Financial Markets — Yale University (Risk Management & Behavioral Finance)
Technologies
Python, PyTorch, JAX, XGBoost, Scikit-learn, Pandas, NumPy, LangChain, Docker, AWS, Azure, Git, React, Next.js, Tailwind CSS, Three.js, SQL, Bash