Beschreibung

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.

Sprachen

Spanisch
Muttersprachlich oder zweisprachig
Englisch
Muttersprachlich oder zweisprachig
Französisch
Verhandlungssicher
Deutsch
Konversationssicher

Arbeitsortpräferenzen

Vor Ort möglich

Lausana (bis zu 50 km)

University of A Coruña
PhD Researcher
DIGITALAGENTUREN & IT-CONSULTING
März 2021 - März 2026 (5 Jahre)
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
DIGITALAGENTUREN & IT-CONSULTING
Oktober 2024 - März 2025 (5 Monate)
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
DIGITALAGENTUREN & IT-CONSULTING
Juli 2023 - Oktober 2023 (3 Monate)
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