Lead DS/ML Engineer with 8+ years of experience defining, architecting, and delivering end-to-end ML and AI solutions. Specializing in GenAI & agentic systems, RAG & LLM fine-tuning, and production ML pipelines.
class AIEngineer:
def __init__(self):
self.skills = [
"LLMs",
"RAG Systems",
"ML Pipelines",
"Vector DBs"
]
self.passion = "∞"
async def build_future(self):
return "🚀 Innovation"Lead DS/ML Engineer with 8+ years of experience defining, architecting, and delivering end-to-end ML and AI solutions. I combine deep technical expertise with strong leadership in managing complex projects, driving significant business impact, and communicating strategic insights to C-level stakeholders.
My expertise spans from traditional machine learning to cutting-edge GenAI, including RAG systems, agentic AI, and LLM fine-tuning. I'm passionate about leveraging AI for real-world applications and have been recognized for top performance in ML competitions, including 2nd place in Spain's largest Hackathon in 2020.
I excel at bridging the gap between technical innovation and business value, with experience in Agile methodologies, team leadership, and training non-technical stakeholders on AI capabilities.
A collection of AI systems I've built, from RAG applications to production ML pipelines.
Production-grade Retrieval Augmented Generation system processing 10M+ movie queries. Built with LangChain, Pinecone, and GPT-4 for intelligent movie recommendations and analysis.
Street View guessing game with random locations every round. Explore clues, place your guess on the map, and compete for the highest score in 5 rounds.
A browser 3D platformer inspired by Mario Bros built with Three.js, including coins, enemies, jumping physics, and a full level run.
Interactive 3D venue rental simulator where you can configure event types, attendee counts, and explore virtual spaces in real-time using Three.js.
Flappy Bird clone en Canvas con candidatos españoles: selecciona personaje, esquiva tuberías y supera tu mejor puntuación.
Minimalist landing page clone for a digital wedding invitation platform with modern templates, smart RSVP, interactive maps, and one-time pricing UX.
Intelligent travel planning assistant that creates personalized itineraries using multi-agent systems. Integrates with booking APIs and uses context-aware recommendations.
Enterprise document processing pipeline that extracts, classifies, and summarizes documents using vision-language models. Handles 50K+ documents daily.
Streaming sentiment analysis system for social media monitoring. Processes 100K+ posts per hour with sub-second latency using fine-tuned transformers.
Multi-tenant chatbot platform with custom knowledge bases. Features conversation memory, tool use, and seamless handoff to human agents.
Open-source framework for building reproducible ML pipelines. Includes experiment tracking, model versioning, and automated deployment to multiple cloud providers.
Gartner • Barcelona, Spain
Led digital transformation through AI and GenAI solutions and agentic systems, collaborating directly with C-level executives to define AI strategy and roadmap.
Mango • Barcelona, Spain
Led multiple DS initiatives that enhanced operational efficiency and strategic decision-making. Developed AI recommendation systems using collaborative filtering with geolocation and weather data, improving revenue by 10%.
Banco Santander • Madrid, Spain
Developed and automated an AI-powered personalized newsletter using GPT-2. Built predictive models and automated reporting systems for the banking sector.
Karlsruhe Institute of Technology • Germany
Conducted biomedical research and development focused on the analysis of wearable signals and computer vision applications.
UPC
Barcelona, Spain
EOI Business School
Madrid, Spain
KIT (Germany) - UPV (Spain)
Germany / Spain
University of Granada
Granada, Spain
Thoughts on AI, machine learning, and building intelligent systems
Exploring how Large Language Models are revolutionizing forecasting tasks, from time series prediction to market analysis, and what this means for data scientists.
A comprehensive guide to understanding and mitigating security risks in production LLM deployments — from prompt injection to data leakage and beyond.
A technical deep dive into MCP — the emerging protocol that's transforming how AI models connect with external systems, databases, and enterprise tools.
I'm always interested in hearing about new projects and opportunities. Whether you need help with AI systems, want to discuss ideas, or just want to say hi, feel free to reach out!
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