Johannes Hötter
VP Growth at Edgeless Systems
Bonn, North Rhine-Westphalia, Germany
Summary
🤩
Rockstar🎓
Top SchoolJohannes Hötter is a data engineer and founder who leads Kern AI as Co-Founder & CEO, helping companies operationalize GenAI through software, training, and consulting. With five years of experience and an M.Sc. in Data Engineering from Hasso Plattner Institute, he blends technical depth with product and people-facing methods to drive trustworthy AI adoption. He contributes to open-source tooling—most notably building and refining the CLI for the refinery project that treats training data as a software artifact—to make NLP data workflows scalable and maintainable. Johannes prioritizes human-centered change, combining education and trusted partnerships with pragmatic engineering to accelerate transformation. Based in Bonn, he pairs top academic credentials (a 1.0 B.Sc. in Business Information Systems) with hands-on delivery across full-stack data tooling.
5 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Business Information Systems, Bachelor of Science - BS Business Information Systems at Bonn-Rhein-Sieg University of Applied SciencesMaster of Science - MS Data Engineering, Master of Science - MS Data Engineering at Hasso Plattner Institute
Stackoverflow
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Github Skills (15)
git10
machine-learning10
nlp10
python10
natural-language-processing10
cli10
data-science9
refactoring9
version-control9
data-labeling8
annotations8
active-learning8
cicd8
annotate8
ai8
Programming languages (7)
Github contributions (5)
code-kern-ai/refinery
Jul 2022 - Oct 2022
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:6 reviews, 18 commits, 17 PRs in 3 months
Contributions summary:Johannes primarily worked on the command-line interface (CLI) for the `refinery` project, enhancing its functionality. Their contributions included implementing an update mechanism to pull the latest changes from the remote repository, incorporating a version update process, and adding a help command. Furthermore, the user addressed bug fixes and improved the overall usability of the CLI. This involved modifications to the `cli.py` and `setup.py` files, as well as updates for the versioning of the project.
training-dataannotationsdata-centric-aidata-labelingdeep-learning
code-kern-ai/refinery-sample-projects
Jul 2022 - Jul 2022
Containing examples of projects you can use to test refinery. Please select the use case from the branches.
Contributions:30 commits, 2 pushes in 4 days
branchesrasatestingsimilarity-searchsentiment-analysis
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