Jan Kielmann is a cloud-native software engineer with 10 years of experience building backend systems and ML infrastructure at SAP, currently focused on Cloud Native platforms. He has designed and operated MLOps pipelines and contributed to open-source ML tooling such as SAP's Machine Learning Lab, blending production reliability with data-science enablement. His work on contributor-facing projects (e.g., enhancing CLA Assistant) shows attention to developer UX, robust error handling, and test-driven backend integration. Trained at KIT and DHBW Karlsruhe, he brings a strong applied computer science background paired with years inside a large enterprise engineering organization. Jan combines hands-on coding with platform thinking—making complex ML and cloud workflows repeatable and developer-friendly. He is based in Karlsruhe and often operates at the intersection of infrastructure, automation, and pragmatic product engineering.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS Informatik, Master of Science - MS Informatik at Karlsruhe Institute of Technology (KIT)
Bachelor of Science - BS Angewandte Informatik, Bachelor of Science - BS Angewandte Informatik at Duale Hochschule Baden-Württemberg (DHBW) Karlsruhe
Contributions:65 commits, 2 PRs, 18 pushes in 3 months
Contributions summary:Jan primarily contributed to enhancing the application's error handling and API integrations, specifically for signing Contributor License Agreements. They implemented error pages for scenarios where a CLA was missing or a repository didn't exist, indicating a focus on improving user experience. The user also modified the server-side services to incorporate these checks, and the commit history includes modifications in client-side controllers and templates. Furthermore, they introduced tests for new server behaviors and changed API calls to use user tokens.
Contributions:15 reviews, 157 commits, 102 PRs in 1 year 6 months
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