Tobias Goerke
Berater Data Scientist
Münster, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolTobias Goerke is a Data Scientist and consultant with a decade of experience helping organizations operationalize AI and MLOps, currently advising clients at viadee Unternehmensberatung from Münster. He designs, integrates and administers Kubeflow clusters and ML pipelines, emphasizing best practices like Explainable AI to deliver transparent, production-ready solutions across insurance, logistics and IT services. Tobias combines hands-on full‑stack contributions to prominent open-source tooling (notably features and bug fixes in the kubeflow/kubeflow project) with internal R&D, training and student mentorship. His background in information systems and early work in Java enterprise and blockchain research give him a pragmatic blend of academic depth and engineering discipline. He is continuously upskilling and enjoys translating complex modelling and forecasting challenges — including geospatial deep-learning use cases — into sustainable, value-adding products.
10 years of coding experience
Master of Science, Information Systems, Master of Science, Information Systems at Universität LiechtensteinMaster of Science, Information Systems, Master of Science, Information Systems at Westfälische Wilhelms-Universität Münster
Github Skills (14)
kubernetes10
frontend10
python10
web-frontend10
kubernetes-pods10
go9
istio9
docker8
jupyter8
dockers8
front-end-development7
back-end-development7
react7
cicd6
Programming languages (12)
Github contributions (5)
kubeflow/kubeflow
Nov 2022 - Nov 2022
Machine Learning Toolkit for Kubernetes
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:6 reviews, 2 commits, 24 PRs in 12 days
Contributions summary:Tobias contributed to both the backend and frontend components of the Kubeflow project, specifically focusing on the PVCViewer and Jupyter notebook functionalities. They implemented features for the volumes UI, integrating backend support and frontend integration. The user also addressed critical issues in the Jupyter notebook backend, including a fix for a KeyError in the 1.8 release, and added configurable Istio gateway for PVCViewer access.
pythondata-sciencenotebookmachine-learningmlops
viadee/javaAnchorExplainer
Sep 2018 - Jan 2022
Explains machine learning models fast using the Anchor algorithm originally proposed by marcotcr in 2018
Contributions:101 commits, 12 PRs, 77 pushes in 3 years 4 months
data-sciencemachine-learningexplainable-aijavaanchor
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