Leading the design and development of AI-driven platforms as a freelance consultant, focusing on RAG-based systems and scalable architectures for enterprise use cases.
Worked as a freelance senior engineer focused on improving system performance, modernizing legacy applications, and contributing to architectural decisions.
Built and launched a SaaS platform enabling technical and non-technical users to create custom Retrieval-Augmented Generation pipelines in a few clicks.
Front End Lead Developer
Curious about my education, or want to get in touch?
Nebius Academy
Issued: 2026
ID: 2e33e6e5-fde9-4332-8c51-8a8c82022df3
Amazon Web Services
Issued: 2021
ID: EZ30PTCDM1FE12GQ
Universidad Politécnica de Valencia (UPV)
Issued: 2021
ID: FCPTDBIZR8Q
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A Retrieval-Augmented Generation (RAG) platform that leverages LLMs to answer questions from your documents, powered by React, FastAPI, and LangChain. Part of the AWS Activate program.
Led a department's AI capability from the ground up at a multinational digital marketing company: an intelligent orchestrator routing queries across specialized RAG and workflow agents, and the company's first agents exposed as MCP tools to its enterprise agent network.
Read the case studyFind fast-food deals on an actual map. No more scrolling through sketchy coupon sites. ✅ Real deals from real people 📍 Pin-drop accuracy 👍 Community-voted quality 🏆 Earn points for sharing It's like Waze, but for food deals. Drop a pin. Share a deal. Get points.
A simple tool to help teachers with DRA assessments. This app uses the Web Speech API to transcribe students’ readings and automatically generate scores. It’s completely free, and all data stays on your device, no user data is ever accessed or stored elsewhere.
The 3D sequel: a cinematic harbor arena, stance-based punches and kicks, panels that dent and fly off with physics, and a truck that collapses into a smoking pile. Still a single HTML file with no asset files, every model, texture and sound generated at runtime.
A comedic parody of the classic 90s arcade-fighter "destroy the car" bonus stage: wreck an ugly electric pickup with your bare hands in under 40 seconds. A single HTML file with no images, sprites or libraries, every pixel drawn on canvas and every sound synthesized with the Web Audio API.
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AI Tech Lead
Within a leading multinational digital marketing company, I led the creation of an AI capability for a key business department from the ground up: hiring and growing a dedicated AI engineering team focused on agentic solutions, defining the platform architecture, and taking multiple AI products from concept to production.
The result is a multi-agent platform of specialized RAG agents, unified by an intelligent orchestrator that routes each user query to the right agent. Our team was also the first in the company to integrate with the enterprise agent network platform, exposing our agents as MCP tools to external consumers and setting the precedent for how other teams could follow.
I designed and implemented an orchestrator that interprets user intent and seamlessly routes queries to the most appropriate agentic solution, giving users a single entry point to a growing set of specialized agents.
I built several domain-specific RAG pipelines combining vector search, knowledge retrieval, and conversational AI, powered by frontier LLMs and designed for accuracy, scalability, and grounded responses.
I developed agents capable of task planning, tool calling, structured output generation, and multi-step workflow execution, with human-in-the-loop checkpoints for high-stakes business operations. Durable, long-running workflows are managed with Temporal.
Working closely with external partners and providers, I led the company's first integration with an enterprise agent network platform. The integration exposes the platform's capabilities as MCP tools through FastMCP, so external consumers can integrate our agents into their own ecosystems. This pioneering work established the reference approach for agent interoperability across the organization. The agents also consume external platforms and services as tools.
I defined the guardrails, AI safety policies, evaluation frameworks, and benchmarking strategy used to validate agents before and after release. I also established end-to-end observability with Langfuse and Sentry to monitor quality, cost, latency, and user experience.
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Tech Lead AI & Solution Architect based in Madrid, Spain, with over 12 years building enterprise AI and cloud platforms.
I share practical notes on AI engineering, RAG systems, agent architectures, software engineering.
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