Bar Arnon is a Principal Architect based in Israel with 12 years of experience blending hands-on .NET engineering and team leadership across startups and Microsoft products. He has deep expertise in performance, optimization and core runtime work—contributing to high-profile open source projects like dotnet/runtime (including System.Net.Mail fixes and Http3 support) and Humanizer to squeeze latency and code size out of libraries. At Microsoft he worked on security and analytics products (Aorato, ATA, AATP, ADX) and now shapes platform and product architecture at Ermetic. Known for pragmatic code cleanup and robust refactors (e.g., resilient YouTube signature parsing in libvideo), he pairs rigorous technical discipline with mentoring and process improvements. His background in large-scale IDF systems and continuous-integration practices underpins a focus on reliability in mission-critical environments.
12 years of coding experience
12 years of employment as a software developer
B.Sc Computer Science, B.Sc Computer Science at The College of Management, Academic Studies
Software Developer Computer Science, Software Developer Computer Science at IDF School of Computer Proffesions
A lightweight .NET library to download YouTube videos.
Role in this project:
Back-end Developer
Contributions:30 commits, 5 PRs, 24 pushes in 3 years 3 months
Contributions summary:Bar primarily focused on enhancing the `libvideo` library, which downloads YouTube videos. Their work included refactoring the signature decryption process for video URLs, making it more robust and adaptable to changes in YouTube's API. They also addressed bugs and improved the parsing of manifest URIs and JS players, thus ensuring better compatibility with YouTube's evolving infrastructure. Furthermore, the user added support for new video and audio formats.
Humanizer meets all your .NET needs for manipulating and displaying strings, enums, dates, times, timespans, numbers and quantities
Role in this project:
Back-end Developer
Contributions:10 commits, 1 PR, 2 comments in 1 year 8 months
Contributions summary:Bar primarily contributed to the Humanizer library by implementing new extensions related to integer types and time spans and also added support for all integer primitives for ByteSize. Further contributions included marking methods for AggressiveInlining to improve performance and fixing minor bugs. The user's work focused on enhancing the library's functionality, improving code efficiency, and addressing identified issues.
dotnetstringstimeshumanizercsharp
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