Gabriel Einsdorf
DevOps Team Lead at KNIME
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolGabriel Einsdorf is a DevOps leader in Berlin with 12 years of experience shaping build, test and deployment systems at KNIME, where he progressed from student developer to DevOps Team Lead. He specializes in automating tedious workflows, transforming build infrastructure to be fully managed via infrastructure-as-code, and supporting both internal and external extension developers. Gabriel pairs hands-on back-end contributions to the KNIME Analytics Platform—improving time/table behavior and UI context handling—with mentoring and training of junior engineers. Comfortable across software development and DevOps, he brings a pragmatic focus on tooling that improves others’ productivity and a habit of finding and refactoring subtle bugs in core systems.
12 years of coding experience
11 years of employment as a software developer
Master of Science (M.Sc.) Computer and Information Science, Master of Science (M.Sc.) Computer and Information Science at University of KonstanzAllgemeine Hochschulreife (Abitur) Allgemeinbildendes Gymnasium, Allgemeine Hochschulreife (Abitur) Allgemeinbildendes Gymnasium at Freie Waldorfschule am Bodensee, Uberlingen, Germany
German, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
eclipse-plugin10
javas10
work-flow10
workflow-engine10
java10
data-structure9
data-structures9
blender8
databases8
blending8
database8
Programming languages (11)
Github contributions (5)
knime/knime-core
Apr 2018 - Nov 2022
KNIME Analytics Platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:86 commits in 4 years 8 months
Contributions summary:Gabriel primarily focused on improving the KNIME Analytics Platform by addressing specific issues related to time and table functionality. They removed and refactored code related to milliseconds, ensuring time inputs defaulted correctly to 00:00:00. They also modified the table creator, ensuring the context menu options were correctly enabled based on column selection. Additionally, the user contributed to improvements in the breakpoint node dialog and model.
tool-blendingintegrationanalyticsknime-analytics-platformmachine-learning
knime-ip/knip-deeplearning
Dec 2017 - Jul 2023
KNIME Image Processing - Deep Learning Extension
Contributions:2 releases, 1 PR, 16 pushes in 5 years 8 months
siftdeep-learningcomputer-visionimage-processingknime
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