Johann Dirry
.NET Software Develper at MicroSea System Solutions
Klosterneuburg, Lower Austria
Summary
👤
Senior🎓
Top SchoolJohann Dirry is a seasoned .NET full-stack developer with 13 years of experience building scalable, high-performance web applications and implementing cloud and DevOps solutions. Currently at MicroSea System Solutions, he combines software development and system administration skills to bridge development and operations, ensuring reliable production systems. His background spans consulting, freelance work, and long-term engagements, reflecting versatility across industries and team sizes. An active open-source contributor, he has improved the dotnet/TorchSharp library by refactoring core components and adding flexible tensor factories and numerical operators, demonstrating depth in backend and mathematical code. Trained in SCRUM, Microsoft web technologies, and network/Windows administration, he brings both process discipline and hands-on infrastructure know-how. Based in Klosterneuburg, Austria, he favors pragmatic optimizations that boost performance and maintainability.
13 years of coding experience
9 years of employment as a software developer
Windows Server Administrator, Windows Server Administrator at Die BeraterCisco Certified Network Associate (CCNA) Computer Systems Networking and Telecommunications, Cisco Certified Network Associate (CCNA) Computer Systems Networking and Telecommunications at HTBLA KarlsteinMicrosoft Certified Professional Developer MCPD Web Developer 4.0, Microsoft Certified Professional Developer MCPD Web Developer 4.0 at WIFI WienSCRUM Master SCRUM, SCRUM Master SCRUM at PPEDV
Github Skills (11)
tensorrt10
net10
asp-net10
pytorch10
dotnet10
tensor10
tensorflow10
csharp10
operation10
dotnet-core10
libtorch9
Programming languages (16)
Github contributions (5)
dotnet/TorchSharp
Apr 2022 - Jan 2023
A .NET library that provides access to the library that powers PyTorch.
Role in this project:
Backend Developer
Backend DeveloperContributions:16 reviews, 29 commits, 15 PRs in 9 months
Contributions summary:Johann primarily focused on refactoring and cleaning up code within the `TorchSharp` library, specifically removing unused namespaces and improving code structure. They implemented a tensor factory to create tensors from arbitrary arrays, adding flexibility to the library. The user also implemented and refined methods related to tensor operations such as `round`, `std`, `var`, `isnan` and `roll` with various overloads, enhancing the library's mathematical functionality.
pytorchnet-librarydotnetpythonpowers
MovGP0/worlddance
Jun 2018 - Oct 2020
Contributions:92 pushes, 2 branches in 2 years 4 months
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