Moritz Borrett-laurer

Senior Machine Learning Engineer, Member Of Technical Staff at Cohere

Paris, Ile-de-France
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Summary

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Rockstar
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Top School
Moritz Laurer is a Machine Learning Engineer and Member of Technical Staff at Cohere with seven years of experience building and deploying LLM- and VLM-powered solutions across industries. Previously at Hugging Face and as a PhD researcher at VU Amsterdam, he developed instruction-based classifiers and fine-tuned models that have been downloaded over 100 million times from the Hugging Face Hub. He spans the full ML lifecycle—use-case definition, data annotation, fine-tuning, evaluation, deployment and inference optimization—and has applied those skills in finance, health, manufacturing, media, retail and the public sector. His academic work demonstrated how instruction-based models can boost validity and data efficiency, and he has a track record of open-sourcing practical models and datasets that bridge research and production. Based in Paris, he combines rigorous research training with hands-on applied ML engineering and policy-oriented experience from European institutions.
code8 years of coding experience
job7 years of employment as a software developer
bookDouble Master's degree, Double Master's degree at Freie Universität Berlin
bookDouble Master's degree, Double Master's degree at Sciences Po
bookWashington Semester Program, Foreign Policy, Washington Semester Program, Foreign Policy at American University
bookPhD, PhD at Vrije Universiteit Amsterdam (VU Amsterdam)
bookBachelor's degree, SOCIAL SCIENCES, Bachelor's degree, SOCIAL SCIENCES at University of Augsburg
languagesGerman, English, French
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Github Skills (162)

transformers10
python10
ui-components10
gradio-interface10
datasets10
huggingface10
deep-learning10
self-attention10
speech10
few-shot-learning10
gemma10
glm10
representation-learning10
pandas10
multimodal10

Programming languages (10)

TypeScriptRCSSRustHandlebarsJavaScriptGoJupyter Notebook

Github contributions (5)

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Project repository of the paper "Less Annotating, More Classifying – Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI"
Contributions:1 release, 83 commits, 54 pushes in 5 months
bertmachine-learningtransfer-learning
Project repository for the paper "Lowering the Language Knowledge Barrier - Investigating Deep Transfer Learning and Machine Translation for Multilingual Analyses of Political Texts"
Contributions:1 release, 1 review, 2 PRs in 1 year 9 months
machine-translationtransfer-learning
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