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Guillermo LlopisGL

Guillermo Llopis

AI Engineer

€300/day
1 project
Barcelona, ES
3-7 years

Average response time: 1 hour

About 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.
  • Spanish

    Native or bilingual

  • English

    Fluent

  • Catalan

    Fluent

  • French

    Basic

  • Italian

    Basic

Can work on-site
Barcelona (up to 50km)

Experience

  • Instituto de Neurociencia Avanzada de Barcelona
    AI Engineer
    July 2025 - Today (1 year)
    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
  • ProtForge
    CTO of ProtForge
    December 2023 - July 2025 (1 year and 7 months)
    Using generative deep learning models to develop antibodies. From a technical point of view, developing GNN, LM and diffusion models to design proteins. From a business point of view, managing a startup, collaborating with universities and biotech companies and attending first class congresses in immunology topics.
  • University of Groningen
    Teaching Assistant
    September 2022 - November 2023 (1 year and 2 months)
    Pattern Recognition for AI, Language Modelling, Cognitive Modelling, Deep Learning, Non-Invasive Brain Computer Interfaces, Computational Cognitive Neuroscience, and Introduction to Machine Learning. As an extra teaching assistant experience, completed a fulltime internship in Bermotech Limited (in London) being coding teching assistant (Summer 2019)

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Education

  • 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

Skill set

Categories