Nils Rethmeier
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolNils Rethmeier is an engineering manager and senior researcher with 11 years’ experience building data-efficient, self-supervised and continual multi-modal LLMs and LMMs, currently based in Munich. He has led ML technical teams in industry (DB Systel) and high-impact research at DFKI, focusing on agentic GenAI, explainable AI and energy-aware model training. His work spans from designing production-ready few-shot/document AI systems and MLOps to inventing long-tail-aware pretraining methods and self-supervised prompting for multi-modal models. A habitual bridge between academia and industry, he has driven projects in medical NLP, neural information extraction and traffic-optimizing GNNs while supervising research-to-product transitions. Unusually, he combines hands-on optimization of training efficiency with research on algorithmic bias and XAI, making models both cheaper to run and more interpretable.
11 years of coding experience
10 years of employment as a software developer
Master of Science (M.Sc.), Machine Learning/ Computer Science, 1.4 (1-1.4 excellent), Master of Science (M.Sc.), Machine Learning/ Computer Science, 1.4 (1-1.4 excellent) at Universität PotsdamPhD (ongoing), NLP, PhD (ongoing), NLP at Københavns Universitet - University of Copenhagen
Spanish, English, German
Github Skills (36)
pytorch10
python10
data-science9
machine-learning9
tensorflow9
deep-learning9
jax9
tensorboard8
word-embeddings8
sequence-labeling8
named-entity-recognition7
visualization7
neural-network7
gpu7
natural-language-processing7
Programming languages (5)
Github contributions (5)
copenlu/tx-ray
Dec 2019 - Sep 2020
Code for paper "TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP"
Contributions:6 commits, 5 PRs, 5 pushes in 8 months
natural-language-processing
NilsRethmeier/CLESS
Dec 2020 - Mar 2022
Contributions:18 commits, 1 push in 1 year 2 months
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