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Alberto Muñoz OrtizAM

Alberto Muñoz Ortiz

AI Engineer | LLM Evaluation, RAG, Fine-Tuning

650 €/jour
Lausana, CH
3-7 ans

Délai de réponse moyen : 1h

À propos de Alberto

AI Engineer with a focus on NLP, LLMs, RAG, and fine-tuning. I build reproducible Python workflows for training, evaluation, and analysis, and I am particularly interested in projects where AI systems need to be reliable, measurable, and useful beyond the demo stage. Experience with PyTorch, Hugging Face, Docker, multilingual NLP, and GPU-based experimentation. Based in Lausanne, available for remote and on-site work.
  • Espagnol

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

  • Français

    Capacité professionnelle complète

  • Allemand

    Capacité professionnelle limitée

Accepte de travailler sur site
Lausana (jusqu’à 50 km)

Expériences

  • University of A Coruña
    PhD Researcher
    AGENCE & SSII
    mars 2021 - mars 2026 (5 ans)
    A Coruña, Spain
    PhD researcher in Natural Language Processing focused on data-efficient language models, multilingual transfer, structured prediction, and rigorous evaluation. I designed Python pipelines for large-scale experiments, developed methods for low-resource NLP, analysed model behaviour, and published first-author work at ACL, EMNLP, and COLING.
    Python NLP LLM Machine learning Pytorch
  • EPFL
    Visiting Researcher
    AGENCE & SSII
    octobre 2024 - mars 2025 (5 mois)
    Lausanne, Switzerland
    Visiting researcher at EPFL working on the role of foundational knowledge in transformer generalization. I built reproducible training and evaluation pipelines, containerized workflows with Docker, and ran experiments on GPU infrastructure using Run:ai. This work combined research, implementation, experiment management, and collaboration in an international environment.
    Python Machine learning LLM Docker Pytorch
  • Ludwig-Maximilian University
    Visiting Researcher
    AGENCE & SSII
    juillet 2023 - octobre 2023 (3 mois)
    Munich, Germany
    Visiting researcher at Ludwig-Maximilian University focused on robust NLP for German dialects. I trained a pixel-based language model in PyTorch, handled preprocessing and dataset preparation, ran experiments, and performed evaluation and error analysis. The project strengthened my experience in multilingual NLP, low-resource settings, and end-to-end model development.
    Python NLP Machine learning Pytorch Deep Learning

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Formations

  • PhD. in Computer Science
    University of A Coruña
    2026
    PhD. in Computer Science
  • MSc. Language
    UNED
    2021
    MSc. Language

Compétences

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