Kai Jellinghaus is a software engineer from Karlsruhe, Germany with nine years of experience specializing in performance, platforms, and low-level systems work. He contributes to high-profile open-source projects (Silk.NET, Zig, Lunatic) and has a knack for improving build tools, interop/marshalling, and observability by adding Prometheus metrics and benchmarking capabilities. His contributions span algorithmic backend work—like implementing a Prim’s maze generator and priority queue for .NET console games—to OS-level patches in Zig and nuanced bool marshalling fixes in Silk.NET. Kai favors the obscure and complex problems, often refactoring tooling and pipelines to squeeze out performance and clarity. Colleagues can expect someone comfortable across DevOps, backend engineering, and systems programming who brings measurable improvements in monitoring, build reliability, and runtime behavior.
The high-speed OpenGL, OpenCL, OpenAL, OpenXR, GLFW, SDL, Vulkan, Assimp, WebGPU, and DirectX bindings library your mother warned you about.
Role in this project:
Back-end Developer
Contributions:2 releases, 417 reviews, 181 commits in 3 years
Contributions summary:Kai primarily focused on refactoring and improving build tools within the Silk.NET project. Their commits involved migrating code to use Span parsing, updating and simplifying Azure pipelines, and refactoring existing build tools. Further contributions included the implementation of new interop functionality, notably related to marshalling and the new Core type, including improvements and corrections to bool marshalling. The user's work is crucial for enhancing the project's build process and interoperation with other systems.
Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:23 reviews, 40 commits, 55 PRs in 2 months
Contributions summary:Kai implemented a benchmarking tool for the Windmill platform, focusing on performance metrics and data export. They set up Deno for the benchmarking tool and integrated it with the Windmill API. Their work included creating worker processes, metric collection, and data export capabilities (CSV and JSON), including the addition of metrics for zombie jobs. The user also improved the backend with the addition of metrics, demonstrating contributions to the backend infrastructure and metrics monitoring of the Windmill project.
scalablepythonworkflow-engineserverlesslow-code
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Kai Jellinghaus - Software Engineer at S&P Computersysteme GmbH