AI Engineer based in Valencia, Spain, with a hybrid background in software development, Data Science, and systems deployment.
I build production AI solutions with Python, Machine Learning, Docker, and Linux—from LLM infrastructure and RAG systems to voice agents and automated data pipelines.
I’m looking for more interesting and demanding roles in AI where I can solve complex problems, take ownership, and deliver measurable value.
A multi-agent philosophical debate platform powered by LangGraph. It orchestrates autonomous LLM personas (e.g., Nietzsche, Camus) to engage in complex discussions, managing state and conversation flow through a reactive ChainLit interface.
Automated sentiment analysis pipeline for Spanish sports press. Scrapes Marca.com RSS feeds, classifies sentiment with a Spanish BERT model (robertuito), stores results in PostgreSQL, and renders an interactive Streamlit dashboard — revealing how the media really talks about LaLiga players.
Classifies the genre of any song within 10 genres with 90% accuracy. Presented as bachelor's thesis. Utilized audio processing techniques and mel spectrograms.
I’m an AI Engineer based in Valencia with a background that combines software engineering, data science, and infrastructure. I focus on turning AI concepts into reliable, production-ready systems—from voice agents and RAG applications to locally deployed models and automated data pipelines.
I value technical rigor, clear communication, and end-to-end ownership. I enjoy working on complex problems, collaborating across disciplines, and continuously deepening my knowledge of machine learning and modern AI architectures.
Outside work, I stay active through surfing, skateboarding, and other sports. I also enjoy philosophy and travel, which help me approach new challenges with curiosity and a broader perspective.
