Stefan Decker

Machine Learning Engineer at Zeitgold GmbH

Berlin, Germany
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Summary

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Senior
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Top School
Stefan Decker is a Machine Learning Engineer based in Berlin with nine years of experience applying deep learning and predictive modeling to real-world problems, currently building ML-driven products at i2x. He combines strong NLP and computer vision expertise with solid statistical foundations and data visualization skills, often turning complex model outputs into actionable insights. Trained in data processing at Galvanize and grounded in business administration from German universities, he bridges technical rigor with commercial sensibility. Stefan is particularly interested in pushing NLP research into production-ready systems and enjoys exploring model interpretability beyond standard metrics. Colleagues value his pragmatic approach to engineering trade-offs and his ability to communicate technical results to non-technical stakeholders.
code9 years of coding experience
bookData Processing, Data Processing at Galvanize - San Francisco, SoMa
bookBusiness Administration and Management, General, Business Administration and Management, General at Mälardalen University
bookDiplom-Kaufmann, Business Administration and Management, General, Diplom-Kaufmann, Business Administration and Management, General at Georg-August-Universität Göttingen
bookFelix-Klein-Gymnasium Göttingen
languagesSpanish, English, German
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Stackoverflow

Stats
41reputation
16kreached
0answers
1question
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Github Skills (20)

multi-agent10
agent-framework10
camelcase9
semantic-search9
llm9
python9
large-language-models9
information-retrieval9
generative-ai9
ai9
genai9
orchestration9
retrieval-augmented-generation9
agentic-ai8
orchestration-framework8

Programming languages (1)

Python

Github contributions (5)

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sbadecker/keyword_ranker

May 2017 - May 2017

Contributions:25 commits, 20 pushes, 1 branch in 9 days
sbadecker/deep_house_spy

Mar 2017 - May 2017

Contributions:13 commits, 74 pushes, 1 branch in 1 month
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