Software Engineer · Applied AI · Cybersecurity
I build software and applied-AI systems that solve business problems: machine learning models, LLM agents and the APIs around them.
Now
Cyberdefense Junior Engineer
Education
BSc Computer Engineering
Featured work
Customer retention with machine learning and intelligent agents
Predicts which telecom customers are likely to leave, explains each prediction with SHAP and turns it into retention actions through four Gemini agents.
A churn score alone does not help a business team. They need to know who is at risk, why, and what to do next — in plain language.
Dataset: IBM Telco Customer Churn (7,043 customers). Source code is private.
Other projects
News dashboard with live RSS ingestion, alerts and email notifications.
Suggests reusable unit tests for Java methods and generates new ones.
Computer Engineering graduate from Universidad Carlos III de Madrid (2026), based in Madrid. I work on Python backends and applied AI: machine learning models, AI agents with tool use, LLM fine-tuning, REST APIs, Docker and CI/CD.
I am drawn to where technology meets business, and I build software that solves concrete problems for the people who use it. My final degree project, ChurnAnchor, pairs a machine learning model with four LLM agents so business teams can see which customers are likely to leave and what to do about it. Since September 2026 I have been a Cyberdefense Junior Engineer at Indra, which adds a security perspective to how I build.
Autonomous, analytical and team-oriented. Outside work: finance and investing, team sports and team video games.
Skills
Learning next
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