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Guillermo LlopisGL

Guillermo Llopis

AI Engineer

300 €/día
1 proyecto
Barcelona, ES
3-7 años

Tiempo medio de respuesta: 1h

Acerca de Guillermo

Hola, soy Guillermo, ingeniero en IA y ciencia de datos con experiencia en proyectos de neurotecnología, salud y automatización. Trabajo tanto con empresas españolas como internacionales, ayudándolas a integrar soluciones de inteligencia artificial y modelos generativos.
I hold a Master’s degree in Computational Cognitive Science from the University of Groningen and a Bachelor’s in Biomedical Engineering from the Polytechnical University of Valencia. My experience bridges AI, neuroscience, and software engineering, combining strong coding skills with real-world research and startup experience.
I’ve worked on diverse projects — from neurotechnology and biosignal analysis (EEG, EMG, ECG) to protein design with generative models, AI-driven automation, and AI-powered app development (Flutter, Python, MATLAB, R).
Currently, I help companies integrate cutting-edge AI solutions — from data pipelines and custom model development to implementing LLMs, image/signal analysis, and automation workflows.
I’m particularly passionate about AI for health, biotech, and human–machine interaction, but also open to general AI development and automation projects.
Let’s collaborate to bring AI ideas to life — fast, efficiently, and ethically.
  • Español

    Bilingüe o nativo

  • Inglés

    Competencia profesional completa

  • Catalán

    Competencia profesional completa

  • Francés

    Nociones

  • Italiano

    Nociones

Acepta trabajo presencial
Barcelona (hasta 50 km)

Experiencia

  • Soma
    CTO
    febrero de 2026 - Hoy (6 meses)
    Building an AI agent platform that automates ESG and sustainability reporting for companies. Designing and shipping multi-agent architectures using LangGraph, RAG pipelines, and LLM orchestration end to end.
  • Instituto de Neurociencia Avanzada de Barcelona
    AI Research Engineer
    julio de 2025 - Hoy (1 año y 1 mes)
    PhD research on LLM internal reasoning and thinking processes, hallucination detection, emotion recognition, and neural memory models. Developing AI systems for affective computing and mindset modelling.
  • Instituto de Neurociencia Avanzada de Barcelona
    AI Engineer
    julio de 2025 - Hoy (1 año y 1 mes)
    Developing and using AI models for different applications, including image models, LLMs, speech models, signal analysis, ... Developing a model of mindset and applications combining VR and AI
    Machine learning Data science Deep Learning LLM API

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Formación

  • Master in Computational cognitive science
    University of Groningen (RUG)
    2023
    Master in Computational cognitive science
  • Biomedical engineering
    Polytechnical University of Valencia (UPV)
    2021
    Biomedical engineering

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