Anton Piskunov is a Principal Software Engineer with over a decade of experience at Microsoft, specializing in .NET, C#, multithreading, and developer tooling for Visual Studio. He has driven core project system features—NuGet integration, dependency tree handling, and Azure Functions project support—while improving performance, test coverage, and team CI processes. A pragmatic problem-solver, Anton blends deep backend expertise (including C/C++ and test automation) with front-end and cloud familiarity to ship reliable, maintainable systems. His open-source contributions to the widely used dotnet/project-system show hands-on bug fixes and enhanced diagnostics that improved dependency display and package handling for Visual Studio users. With a background in applied mathematics and a master’s in economics, he brings analytical rigor and an uncommon quantitative perspective to design and optimization challenges. Based in Issaquah, WA, he excels at cross-team collaboration and translating complex engineering constraints into practical solutions.
11 years of coding experience
11 years of employment as a software developer
Master's degree Economics, Master's degree Economics at Oregon State University
Bachelor of Science - BS Applied Mathematics and Computer Science, Bachelor of Science - BS Applied Mathematics and Computer Science at Turkmen State University
Contributions:59 commits, 75 PRs, 28 pushes in 2 years
Contributions summary:Anton primarily worked on the .NET Project System, addressing bugs related to dependencies and NuGet package management. Their contributions involved modifying code in `NuGetDependenciesSubTreeProvider.cs` and writing and modifying unit tests in `NuGetDependenciesSubTreeProviderTests.cs` and other test files to improve the reliability and functionality of the project system. They also fixed issues to improve the display of dependencies in the tree view and added the ability to correctly show top level dependencies for all target framework monikers. Furthermore, the user implemented changes to provide better diagnostics.
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