Software Engineer · Applied AI · Data-driven systems
I build backend systems, AI-powered tools and data-driven applications, combining software engineering, artificial intelligence and chemical/process engineering.
- Backend architecture with TypeScript, Node.js, PostgreSQL and Docker.
- Applied AI workflows for automation, internal tools and document-based systems.
- RAG architectures for knowledge retrieval and conversational interfaces.
- Data analysis and scientific computing with Python.
- SaaS products for education and business operations.
- Technical tooling for engineering, documentation and LLM-assisted workflows.
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Architecture and implementation of a SaaS platform for educational institutions, using isolated deployments per client, authentication, PostgreSQL databases, Dockerized services and role-based portals. Stack
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Development of an internal dashboard with a conversational AI system based on Retrieval-Augmented Generation architecture for internal documentation, knowledge access and support workflow optimization. Stack
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Research work at the University of Zaragoza focused on machine learning correction algorithms for optical sensors and modelling of complex kinetic curves using mathematical models and data-driven methods. Stack
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Technical tooling for documentation, automation, LLM-assisted workflows and engineering problem solving. Areas
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