Retrieval-augmented generation
Verifiable, retrievable knowledge (RAG / graphs) anchored to the published corpus: the agent answers with evidence, not improvisation.
Technology & DevOps
Process optimisation with Lean Manufacturing through applications and multi-agent systems: retrieval-augmented generation (RAG), skills or tools and a feedback loop, with cybersecurity in development and orchestration. Stack: Python, Go and .NET (concurrent and asynchronous); FastAPI and Litestar; ORM and Atlas; MySQL, PostgreSQL and MSSQL; deployment with Gunicorn, Uvicorn and Systemd; Linux and cloud (Azure, GCP, AWS, OCI, Hetzner).
- Python
- Go
- .NET
- R
- FastAPI
- Litestar
- Flask
- Jinja2
- HTML5
- Bootstrap 5
- MySQL
- PostgreSQL
- MSSQL
- ORM
- Atlas
- Gunicorn
- Uvicorn
- Systemd
- Git
- Linux
- CI/CD
- Automatización de despliegues
- Infraestructura como código
- Azure
- GCP
- AWS
- OCI
- Hetzner
- Generación aumentada por recuperación (RAG)
- Habilidades / herramientas
- Bucle de retroalimentación
- Sistemas multi-agente
- Ciberseguridad
Retrieval, skills and feedback loop
Skills or tools
Bounded capabilities the agent invokes when needed — queries, checks, authorised actions — without an unlimited mega-agent.
Feedback loop
Evaluate, correct and standardise: PDCA applied to agents and operational continuous improvement.
Experience
February 2007 – November 2025
Specialist IT consultant (HYBAM, IMARPE)
Institut de Recherche pour le Développement (IRD) — Peru
- Technology projects aligned with French organisation standards.
- High-availability hardware for HYBAM and IMARPE.
- Long-term IT consulting in research and operations.
May 2009 – December 2017
External IT management (IT Manager Service)
Fresenius Medical Care Peru
- Leadership of local projects coordinated with Germany.
- Infrastructure expansion for dialysis clinics nationwide.
- Administration of clinical IT operations.
Contact
Let's talk about your project
Barcelona, Spain