Jan-Benedikt Jagusch
Heidelberg, Baden-Württemberg, Germany
Summary
🤩
RockstarJan-benedikt Jagusch is a pragmatic data engineer with 8 years of experience building ML-driven data products and reliable ETL pipelines, currently working at QuantCo in Heidelberg. He has led and mentored small data science teams, shipping production document-classification, topic modelling, search and recommendation systems while improving code quality, testing and CI/CD practices. His open-source contributions span conda-forge automation, ONNX model conversion improvements for LightGBM, and packaging work for Jupyter tooling — demonstrating a mix of DevOps, ML engineering and backend expertise. Academically strong with master’s-level training in information management and international exposure from studies in the US and Germany, he combines rigorous modeling skills with practical deployment know-how. A detail-oriented engineer, he often focuses on build automation and model-conversion edge cases that quietly reduce production friction.
9 years of coding experience
Stackoverflow
669reputation
28kreached
6answers
11questions
Github Skills (37)
conda-forge10
jupyterhub10
python10
package-management10
jupyter10
setuptools10
scikit10
machine-learning10
build-system10
proxy10
onnx10
cicd10
automation10
go10
lightgbm10
Programming languages (17)
Github contributions (5)
conda-forge/staged-recipes
Feb 2021 - Dec 2022
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Role in this project:
DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:124 reviews, 98 commits, 74 PRs in 1 year 9 months
Contributions summary:Jan-Benedikt primarily focused on automating and configuring the build and deployment process for various conda recipes within the conda-forge ecosystem. Their contributions involve modifying build scripts (build.sh and bld.bat), integrating Go-based tools such as dockle and grype, and managing licensing information. Furthermore, the user made changes to integrate with CI/CD services, including setting up environment variables and token rotations. The changes are related to automating the build and integration of recipes into the conda-forge system.
condaconda-forge
jupyterhub/jupyter-server-proxy
Feb 2021 - Mar 2021
Jupyter notebook server extension to proxy web services.
Role in this project:Back-end Developer
Back-end DeveloperContributions:16 reviews, 41 commits, 2 PRs in 1 month
Contributions summary:Jan-Benedikt focused on modifying the `setup.py` file, a key configuration file for the project. Their contributions included adding and removing dependencies, updating metadata, and adjusting data file configurations. These changes aimed to ensure the correct installation and operation of the jupyter-server-proxy extension, addressing aspects like package dependencies, project metadata, and data file inclusion. Furthermore, they integrated co-authored changes, specifically in updates to the `setup.py` file.
jupyter-notebookproxywebservicejupyterjupyterhub
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.