Ralf Schmitt is a seasoned project manager and former SAP system specialist with 18 years of experience delivering technical content, CI/CD product ownership, and build/package leadership for SAP S/4HANA Cloud. He blends hands-on backend engineering—demonstrated by substantive open-source contributions to projects like gevent, pytest-django, and the Raiden Network—with enterprise delivery and release management expertise. At SAP he progressed from system management and package build lead to product owner and project lead, showing strength in both technical implementation and cross-functional coordination. His OSS work shows a pragmatic focus on robustness and edge-case fixes (networking, encoding, build tooling and compatibility across Python versions), reflecting deep attention to reliability. Based in Saarland, Germany, he combines formal training in business informatics with a track record of improving build processes and test suites for widely used developer tooling. Colleagues rely on him to bridge complex engineering problems and pragmatic product outcomes.
18 years of coding experience
Diplom-Betriebswirt, Wirtschaftsinformatik, Diplom-Betriebswirt, Wirtschaftsinformatik at Hochschule für Technik und Wirtschaft des Saarlandes Saarbrücken
Minimal PyPI server for uploading & downloading packages with pip/easy_install
Role in this project:
Back-end Developer
Contributions:243 commits, 4 comments in 2 years 7 months
Contributions summary:Ralf primarily contributed to the core functionality of the PyPI server. Their work involved importing and integrating the `bottle` web framework, which is central to the server's operation. They implemented basic indexing and package listing features, enabling the serving of packages via the PyPI protocol. Further contributions included parsing command-line options, improving code formatting, and incorporating enhancements to the server's behavior, such as fallback to the main PyPI.
Contributions summary:Ralf primarily contributed to the project's core functionality and build process. They fixed compilation issues for older Python versions, such as Python 2.4, by adding necessary typedefs. Additionally, the user made enhancements to the build process, including adapting `setup.py` to work without `setuptools`, and automating the build for Windows environments. They also improved the project by addressing compiler warnings and updating the version information.
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.