Niels Warncke

Researcher at Center on Long-Term Risk

Berlin, Germany
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Summary

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Rockstar
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Niels Warncke is a researcher and machine learning engineer based in Berlin with a decade of experience bridging applied ML, generative systems, and AI safety research. He has held roles from CTO and startup cofounder to senior ML engineer and now focuses on empirical alignment and evaluating dangerous capabilities at the Center on Long-Term Risk. His background includes building production ML services, audio ML at Porsche Digital, and generative-art products at Pollinations, reflecting both engineering rigor and creative product sensibility. Niels combines strong academic credentials (MSc Computer Science, TU Berlin) with hands-on backend and deployment experience—CI/CD to AWS and microservice architectures feature in his track record. Notably, he shifted from shipping commercial ML products to probing model vulnerabilities and backdoor influence, signaling a practical, threat-informed approach to alignment. He prefers showing work on GitHub over LinkedIn, emphasizing code and reproducible results over self-promotion.
code10 years of coding experience
job7 years of employment as a software developer
bookAbitur, 1.0, Abitur, 1.0 at St. Lioba Schule Bad Nauheim
bookMaster, Computer Science, 1.0, Master, Computer Science, 1.0 at Technische Universität Berlin
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Stackoverflow

Stats
81reputation
10kreached
5answers
7questions
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Github Skills (157)

python10
bots10
text-to-speech10
generative10
javascript10
generative-ai10
react-virtualized10
chatbot10
typescript10
nodejs10
fine-tuning9
conversational-ai9
ai9
gpt9
nlp9

Programming languages (11)

TypeScriptC++CSSShellCTeXJavaScriptGo

Github contributions (5)

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nielsrolf/pca

May 2020 - Apr 2021

A nice API to use numpy.SVD for PCA: whitening/unwhintening, decorrelation and dimensionality reduction
Contributions:11 commits, 1 PR, 10 pushes in 11 months
dimensionality-reductionnumpysvd
nielsrolf/pandas_db

Jul 2021 - Oct 2022

Contributions:74 commits, 64 pushes, 2 branches in 1 year 3 months
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