Christoph Hösler
Solutions Architect at inovex
Germany
Summary
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RockstarChristoph Hösler is a Solutions Architect with 15 years of experience building backend and data-driven systems from Germany. He blends full-stack data science and architecture skills at inovex, translating complex time-series and ML needs into maintainable production solutions. An active open-source contributor, he has improved the widely used sktime time-series framework—adding hierarchical and multi-index support for transformers and hardening tests for performance and I/O. He also contributes backend fixes and reliability improvements to Helm, demonstrating practical Kubernetes packaging expertise. Christoph is comfortable operating at the intersection of data engineering, machine learning, and cloud-native tooling, with a penchant for fixing subtle bugs that boost developer experience and runtime efficiency.
15 years of coding experience
Stackoverflow
1,274reputation
111kreached
10answers
0questions
pyspark
top-5%
apache-spark
top-5%
Github Skills (30)
kubernetes10
python10
data-science10
scikit10
pandas10
machine-learning10
time-series10
url-parsing10
go10
kubernetes-pods10
scikit-learn10
apache-spark9
numpy9
pyspark9
data-mining9
Programming languages (17)
Github contributions (5)
sktime/sktime
Mar 2021 - Jun 2023
A unified framework for machine learning with time series
Role in this project:
Data Scientist
Data ScientistContributions:19 reviews, 8 PRs, 41 comments in 2 years 3 months
Contributions summary:Christoph primarily contributes to the improvement and maintenance of the `sktime` library, a framework for time series machine learning. Their work focuses on enhancing existing functionalities related to data transformations and imputation, specifically by adding native support for hierarchical and multi-index data within the `ColumnSelect` and `Imputer` transformers. Additionally, the user fixes bugs within testing frameworks related to file I/O and addresses performance issues, demonstrating skills in both core library development and quality assurance. These contributions directly impact the usability and efficiency of the library.
forecastingtime-series-analysistime-series-regressiondata-sciencedeep-learning
helm/helm
Nov 2017 - Nov 2017
The Kubernetes Package Manager
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits, 3 PRs, 4 comments in 1 day
Contributions summary:Christoph primarily worked on back-end aspects of the Helm project. Their contributions include resolving chart path issues, updating installation descriptions, renaming variables based on linter warnings, and refactoring URL resolution functions. They also enhanced the functionality of finding chart URLs and updating related tests. The changes were focused on improving the reliability and usability of Helm's chart management features.
chartscharthelmpackage-managerkubernetes
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