Lucie-Aimée Kaffee

Research Scientist at Hugging Face

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Summary

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Lucie-Aimée Kaffee is a Research Scientist with nine years of experience, currently contributing to applied policy research at Hugging Face. She blends technical rigor with policy-focused inquiry, translating complex AI risks into actionable guidance for developers and organizations. Known on GitHub as @frimelle, she operates at the intersection of research, tooling, and community engagement. Her work emphasizes practical governance solutions that scale alongside rapidly evolving models. Colleagues value her ability to make nuanced trade-offs between innovation and safety while communicating clearly to diverse stakeholders.
code9 years of coding experience
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Github Skills (14)

rex9
corpus-linguistics8
corpus8
dbpedia7
lda7
scale6
nlp6
large-scale6
natural-language-processing5
machine-learning5
information-retrieval4
scribe4
semantic2
semantic-web2

Programming languages (5)

CSSJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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luciekaffee/metrics-label

Jan 2018 - Aug 2019

Code to analyse the multilinguality of a given semantic web dataset
Contributions:4 PRs, 83 pushes, 4 branches in 1 year 7 months
semantic-webdatasetsemantic
luciekaffee/QALM

Sep 2019 - Nov 2021

Contributions:7 commits, 6 pushes, 1 branch in 2 years 2 months
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Lucie-Aimée Kaffee - Research Scientist at Hugging Face