About Javier
Ayudo a empresas a pasar de “queremos hacer algo con IA” a sistemas reales en producción que ahorran tiempo, reducen costes o aumentan ingresos.
Soy AI Engineer y consultor de IA especializado en agentes, automatización, sistemas RAG, LLMs e integraciones con herramientas de negocio. Actualmente soy AI Discipline Leader en Product Hackers y trabajo como consultor independiente a través de Javadex.
Mi enfoque no es hacer demos bonitas, sino construir soluciones útiles: copilotos internos, automatización de procesos, asistentes sobre documentación, agentes conectados a APIs y sistemas de IA integrados en flujos reales de trabajo.
Puedo ayudarte si necesitas:
- Identificar qué casos de uso de IA tienen sentido para tu empresa.
- Automatizar procesos repetitivos con IA.
- Crear agentes o copilotos internos para tu equipo.
- Construir sistemas RAG sobre documentación privada.
- Integrar IA con herramientas como CRMs, Notion, Google Drive, Slack, bases de datos o APIs internas.
- Formar a tu equipo para usar y mantener sistemas de IA.
Trabajo especialmente bien con startups, pymes y equipos que quieren implementar IA con foco en ROI, sin depender de grandes consultoras ni quedarse atrapados en pilotos que nunca llegan a producción.
Spanish
Native or bilingual
English
Fluent
French
Conversational
Can work on-site
Vigo (up to 50km), Madrid (up to 50km), Valladolid (up to 50km), La Coruña (up to 50km)
Experience
- Javadex Consulting AIConsultor IA & AutomatizaciónJanuary 2026 - Today (5 months)Empowering SMEs and freelancers by integrating custom AI solutions into their core workflows to drive efficiency and scalability.
- Product HackersAI Discipline LeaderDecember 2025 - Today (6 months)My role focuses on turning AI into a real, scalable business advantage, combining technical leadership, actionable use cases, and internal enablement.• - Design and prioritize high-impact, production-ready AI use cases.• - Provide technical leadership on LLMs, AI agents, RAG systems, and scalable AI architectures.• - Train and enable internal teams (engineering, product, business) on effective and responsible AI adoption.• - Establish standards and best practices for building and deploying AI solutions in production.• - Support clients in adopting and scaling AI beyond experimentation, with a strong focus on measurable impact.
- Ex AI HackersAI EngineerOctober 2024 - Today (1 year and 8 months)• - 1st• - Leading the design and deployment of AI-driven backend architectures, seamlessly integrating advanced LLMs and LangGraph-based frameworks into scalable, production-ready systems.• - Spearheading innovation initiatives in a dynamic, high-growth environment, delivering practical AI solutions tailored to real-world e-commerce and business challenges.• - Architecting and optimizing AI pipelines for performance, reliability, and maintainability, ensuring seamless integration with modern cloud infrastructures.• - Driving technical excellence and best practices across AI projects, including modular design, prompt engineering, retrieval-augmented generation (RAG), and autonomous agent development.• - Collaborating cross-functionally with product and engineering teams to align AI capabilities with strategic business goals and deliver measurable impact.
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Education
- Introduction to Generative AI Introducción a Growth Hacking Convolutional Neural Networks in Python: CNNComputerIntroduction to Generative AI Introducción a Growth Hacking Convolutional Neural Networks in Python: CNN
- Formación online para manejo de robot industrial CB3Formación online para manejo de robot industrial CB3