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Francisco Mendoza MelladoFM

Francisco Mendoza Mellado

AI & MACHINE LEARNING ENGINEER | DATA SCIENTIST

300 €/día
Murcia, ES
3-7 años

Tiempo medio de respuesta: 1h

Acerca de Francisco

AI Engineer with experience leading the design and deployment of production AI systems, from machine learning solutions to multi-agent LLM architectures. Background in Physics with strong foundations in mathematics and scientific computing. Specialized in agentic systems, RAG, AI architecture, LLMOps, MLOps and applied machine learning.
  • Español

    Bilingüe o nativo

  • Inglés

    Competencia profesional completa

Acepta trabajo presencial
Murcia (hasta 50 km), Madrid (hasta 50 km), Barcelona (hasta 50 km)

Experiencia

  • NTT DATA nl
    AI Engineer & Technical Lead
    AGENCIAS DE SUBCONTRATACIÓN
    octubre de 2025 - Hoy (10 meses)
    -Architected and delivered a 7-agent ecosystem used across four internal teams to operationalize organizational knowledge and improve information accessibility in real time.
    -Led two AI initiatives across teams of 5 and 2 engineers, covering agentic systems, AI architecture, LLMOps and enterprise observability platforms.
    -Designed and implemented scalable multi-agent orchestration workflows using FastAPI, MCP and LangGraph, enabling reusable AI solutions and accelerating new use-case onboarding.
    -Built self-hosted monitoring and evaluation platforms to track usage, performance and traceability of enterprise AI systems.
    -Collaborated with business and innovation stakeholders to secure sponsorship, drive adoption and contribute to a finalist project in the company's worldwide GenAI innovation hackathon.
  • Altia
    Machine Learning & AI Engineer
    septiembre de 2024 - julio de 2025 (10 meses)
    • Delivered end-to-end AI solutions, from prototyping to production deployment, for public institutions.
    • Led the development of a multilabel-intent chatbot for SEPE using embeddings and TF-IDF and trained multilabel classification models using Scikit-learn to detect user intents and trigger programmatic responses combining intent classification, embeddings and machine learning models to guide users through public services.
    • Built a semantic search database for the administration with PostgreSQL and NLP (R2R).
    • Built an Azure-based RAG system and AI agents (n8n, LangGraph) for the Ministry of Economy.
  • University of Salamanca,
    Computer Vision Specialist
    mayo de 2024 - diciembre de 2024 (7 meses)
    • Applied YOLO-based object detection models using Python and PyTorch for IOS app Development.
    • Engaged in direct B2B client communication.

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Formación

  • BSC
    UNED
    BSC
  • Erasmus+ Program
    Adam Mickiewicz University
    Erasmus+ Program

Categorías