Ruslan Yermak
Senior Machine Learning Scientist at Zendesk
Berlin, Germany
Summary
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Senior🎓
Top SchoolRuslan Yermak is a Senior Machine Learning Scientist based in Berlin with a decade of experience building production-grade AI systems and end-to-end ML pipelines. He has delivered measurable impact across enterprises—cutting patent analysis time by 75%, reducing supplier document comparison time by 90%, and achieving a 0.87 correlation between automated and human RAG evaluations—while shipping GenAI and anomaly-detection solutions at scale. His background spans research and engineering roles at Amazon, Bayer, IBM and Zendesk, where he optimized NLU training datasets, automated labeling error correction, and authored a biomedical data-to-text paper. Pragmatic and results-driven, he combines hands-on model development with cloud-native, serverless deployment know-how to move prototypes into daily use. An early open-source contributor with roots in scientific tooling, he brings both academic rigor and product-focused engineering to complex AI challenges.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Sumy State UniversityExchange Semester, Web Science, Exchange Semester, Web Science at University of Koblenz and LandauMaster of Science - MS, Data Science, Master of Science - MS, Data Science at RWTH Aachen University
English, German, Ukrainian
Github Skills (28)
covariance10
decoding7
python7
neuroimaging6
topological-data-analysis6
dimensionality-reduction6
brain-imaging6
sap5
machine-learning5
visualization5
projection5
text-generation4
uniform4
testing4
manifold4
Programming languages (4)
Github contributions (5)
wingedRuslan/scona
Mar 2019 - Aug 2019
Code to analyse structural covariance brain networks using python.
Contributions:8 PRs, 42 pushes, 3 branches in 5 months
braincovariancepythondataminingbrain-networks
wingedRuslan/wingedRuslan
Nov 2021 - Jan 2025
Contributions:3 pushes, 1 branch in 3 years 2 months
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