Data scientist and AI engineer. I work on everything from classic machine learning, computer vision and mathematical optimization to multi-agent LLM systems in production. Mathematician, BSc and MSc in Mathematical Modelling, Statistics and Computation (Universidad de Zaragoza).

At Integra Tecnología I design, build and technically defend AI solutions for enterprise clients in banking, industry, healthcare, public sector and logistics, owning the work from scoping to deployment.

• Multi-agent assistants and conversational systems (LangGraph) deployed in production environments
• Document intelligence: OCR + LLM extraction pipelines integrated with client systems
• Natural-language querying over corporate databases
• GenAI adoption training and mentoring for 30+ companies and public bodies

• Predictive models for business problems: forecasting, classification, regression
• Computer vision systems delivered to clients
• Mathematical optimization for operational and logistics problems
• Data pipelines, SQL and data quality. Previously financial-audit data automation at KPMG (Python, PostgreSQL, Docker, R)

• 2nd prize, HACK THE VIBE hackathon: automatic requirement extraction and eligibility checking over Spanish public tenders
• MSc thesis: LLM techniques for predicting the market impact of financial news
• Trainer on LLM agents and Microsoft Copilot adoption for consulting and industry audiences

Building the public side of this work: evaluation harnesses for agents, retrieval benchmarks, and contributions to the agent tooling I use daily (OpenCode, oh-my-openagent, Hermes Agent).

Python · LangGraph · scikit-learn · pandas · SQL / PostgreSQL · pgvector · FastAPI · Pydantic · Docker · Azure · pytest · Ruff

Zaragoza, Spain · LinkedIn