Summary
Joseba Fuentes is an AI Architect based in Madrid with 10 years of experience building production-ready AI and cloud-native systems. He has led end-to-end projects from research to deployment, including a Text2SQL generative search with ~85% accuracy and RAG systems, and he designs evaluation libraries for LLMs and retrieval pipelines. His background spans computer vision, document processing, and scalable microservices with hands-on work in Kubeflow, Kubernetes, FastAPI, PyTorch and Azure. Joseba combines leadership—training teams and coordinating multi-squad R&D—with deep implementation skills across ML models, data pipelines and backend services. He also brings full-stack and devops experience from WebRTC apps to Kafka/Redis-based microservices, enabling pragmatic solutions that bridge research and production. A practical tinkerer, he’s built tools for model interchangeability and automated evaluation that reduce integration friction in complex AI deployments.
10 years of coding experience
7 years of employment as a software developer
Ingeniería informática, Ciencias de la computación, Ingeniería informática, Ciencias de la computación at EHU
Master of science in engineering in data science, Data Processing, Master of science in engineering in data science, Data Processing at Universidad Nacional de Educación a Distancia - U.N.E.D.
Desarrollo de aplicaciones informáticas, Programación informática, Desarrollo de aplicaciones informáticas, Programación informática at Centro de estudios Mikeldi
Spanish, Japanese, English