Description

🔷 AI Engineer 🔷

👾 Generative AI — Building intelligent systems from concept to production

🚀 Currently working on AI agent orchestration with LangGraph and LangChain, developing intelligent solutions for Quirónsalud, the largest private hospital group in Spain.

My focus is on replicating and optimizing call center operations through artificial intelligence, enhancing operational efficiency and patient experience.

• 🤖 Advanced AI Chatbots & Multi-Agent Systems

– Design and deploy RAG-powered conversational agents and multi-agent frameworks

– Skilled in orchestration tools (LangGraph, LangChain) and prompt engineering for complex dialog flows

– Experience integrating local and cloud-based LLMs (Llama, Claude, ChatGPT, Gemini)

• 🧠 Custom AI Solutions

– End-to-end design of bespoke AI systems for industry-specific challenges

– Focused on precision, scalability, and measurable business impact

⚙️ Technical Expertise

– LLMs & Generative AI: Fine-tuning, RAG, multi-agent design

– Infrastructure: Python, SQL, Azure, AWS, Google Cloud

– Supporting Stack: MLflow, GitHub, CI/CD, PySpark, Keras, TensorFlow

Passionate about transforming complex problems into intelligent, production-ready solutions that deliver tangible results.

Languages

Spanish
Native or bilingual
English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Quirónsalud
FREELANCE AI ENGINEER
HEALTH AND WELLNESS
April 2025 - Today (1 year and 2 months)
Madrid, Spain
Multi-Agent System: Design and development of an advanced Voice Agent (Voice-Bot) system to automate and optimize the call center of Quirón Salud, the largest healthcare provider in Spain.
Implementation of complex conversational AI architectures using LangGraph to manage multi-shift dialogs, autonomously resolve patient queries and scale service capacity.
LangGraph Microsoft Azure Python GitHub SQL
Accenture
MACHINE LEARNING ENGINEER
CONSULTING AND AUDITS
October 2023 - April 2025 (1 year and 6 months)
Madrid, Spain
Multi-Agent System: Design and build intelligent multi-agent frameworks and AI-driven virtual assistants to enable for dynamic conversational experiences and automated workflows.
RAG-Enhanced Chatbots: Engineer versatile Retrieval-Augmented Generation (RAG) chatbots supporting fully local deployments (e.g., Llama 3.2) as well as integration with cloud-based LLMs (Claude, ChatGPT). Deliver flexible, high-performance conversational agents and query-driven conversational interfaces to enhance user engagement and business value.
Computer Vision: Design and implement real-time object recognition systems using advanced deep learning techniques for enhanced image and video analytics in complex environments.
Python RAG LangGraph Amazon Web Services artificial intelligence
Crypto Tech Fin
DATA SCIENTIST
BANKING AND INSURANCE
November 2022 - October 2023 (11 months)
Madrid, Spain
I developed investment algorithms and robust data pipelines for performance analysis in the cryptocurrency domain.
Generated automated investment strategies with meticulous risk control.
Formulated evaluation metrics and utilized time-series for in-depth performance analysis of existing algorithms.
SQL Machine learning Git Python