Jorgen Thelin is a machine learning engineer with 11 years of experience focused on next-generation ML, cloud computing, and distributed systems infrastructure, currently based in Redmond. He brings hands-on expertise from Microsoft and a practical track record improving cloud-native frameworks and developer tooling. His open-source contributions include substantive refactors and configuration improvements to the well-known Orleans .NET framework and automation of build/release workflows for Microsoft’s Mobius Spark bindings, highlighting a blend of backend engineering and release automation. Comfortable across system design, build pipelines, and code-level cleanup, he excels at making complex distributed systems more maintainable and production-ready. An engineer who pairs deep platform knowledge with a pragmatic eye for tooling and developer experience.
Contributions:312 commits, 274 PRs, 175 pushes in 5 years 2 months
Contributions summary:Jorgen focused on refactoring and improving the configuration and internal structure of the Orleans framework. Their contributions involved renaming configuration-related files, making client configuration methods public, and modifying build scripts to accommodate PowerShell usage. Additionally, they made several code cleanup changes, corrected some documentation errors, and addressed issues related to dependencies and test configuration.
C# and F# language binding and extensions to Apache Spark
Role in this project:
Automation Engineer / Build & Release Engineer
Contributions:46 commits, 21 PRs, 77 comments in 1 year
Contributions summary:Jorgen primarily focused on enhancing the build and release process of the project. They introduced and modified build scripts (Build.cmd, Test.cmd, and Clean.cmd) and added a .nuspec file for NuGet package creation, indicating a focus on automated builds and packaging. Furthermore, they updated the build process to handle NuGet package restoration and only package the NuGet package if a .nuspec file is present. They also created scripts to run the samples and excluded original pre-shaded .jar files from the runtime library.
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