Holger Peters
Senior Expert Cloud Architecture at Bosch Center for Artificial Intelligence (BCAI)
Ludwigsburg, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolHolger Peters is a Senior Expert in Cloud Architecture at Bosch with 12 years of experience building data-driven, scalable cloud solutions and a strong focus on Azure Databricks and process automation. He progressed from hands-on data engineering and big data roles to technical and team leadership at the Bosch Center for Artificial Intelligence, shaping cloud strategy and delivery across cross-functional teams. Holger pairs a physics background from KIT and Waterloo with practical software craftsmanship—he contributes to prominent open-source projects like pytest and pylint, improving test automation and type checking. Known for translating complex data problems into pragmatic architectures, he combines Bayesian thinking with engineering rigor to drive operational excellence in large enterprises.
12 years of coding experience
10 years of employment as a software developer
Physik (Diplom), Physics, Biophysics, Physik (Diplom), Physics, Biophysics at Karlsruhe Institute of Technology (KIT)Physics, Physics at University of Waterloo
English, German, French, Turkish
Github Skills (11)
linter10
unit-testing10
static-code-analysis10
type-checking10
type-check10
pytest10
unit-test10
python10
doctest10
testing10
software-quality9
Programming languages (23)
Github contributions (5)
pylint-dev/pylint
Apr 2014 - Apr 2014
It's not just a linter that annoys you!
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:12 commits in 10 days
Contributions summary:Holger primarily contributed to the `pylint` project by adding features to the type checking functionality, focusing on module member access and argument handling. They implemented an 'ignored-modules' option and added tests to validate the behavior of the type checker. Additionally, the user merged changes from a different branch into the default branch and refactored existing code, enhancing the project's code analysis capabilities.
linterlintpep8static-code-analysiscode-quality
pytest-dev/pytest
Jun 2015 - Aug 2015
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:1 comment in 2 months
Contributions summary:Holger's contributions primarily focus on enhancing the test suite for the pytest framework. Their work involved adding configuration options related to doctests and implementing tests to cover various doctest functionalities. Furthermore, the user introduced tests to validate options like ignoring whitespace and handling glob patterns for doctests, improving the overall testing coverage of the pytest framework.
scalespythonfunctional-testingtestingpytest-framework
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