Stefan Decker
Machine Learning Engineer at Zeitgold GmbH
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolStefan 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.
9 years of coding experience
Data Processing, Data Processing at Galvanize - San Francisco, SoMaBusiness Administration and Management, General, Business Administration and Management, General at Mälardalen UniversityDiplom-Kaufmann, Business Administration and Management, General, Diplom-Kaufmann, Business Administration and Management, General at Georg-August-Universität GöttingenFelix-Klein-Gymnasium Göttingen
Spanish, English, German
Stackoverflow
41reputation
16kreached
0answers
1question
Github Skills (41)
text-generation10
squad10
summarization10
retrieval10
information-retrieval10
korean-nlp10
retrieval-augmented-generation10
question-answering10
transfer-learning10
nlp10
haystack10
chatgpt9
francais9
named-entity-recognition9
transformers9
Programming languages (1)
Github contributions (5)
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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