Saar Shen is a seasoned .NET software engineer with 11 years of experience at Microsoft, where he transitioned from SDET roles into software development and currently focuses on Cloud Business Apps. He brings deep backend and performance expertise, having contributed to Microsoft’s widely used PerfView project—improving TraceEvent, activity tracking, and sample profiling to make CPU and memory analysis more reliable. Saar blends pragmatic engineering with a tester’s attention to detail, routinely driving bug fixes, experimental features, and refactors that measurably improve performance. Based in Redmond, he pairs practical production experience with a formal computer science background from Yangzhou University.
11 years of coding experience
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Yangzhou University
PerfView is a CPU and memory performance-analysis tool
Role in this project:
Back-end Developer / Performance Engineer
Contributions:9 reviews, 13 commits, 11 PRs in 3 years 6 months
Contributions summary:Saar primarily contributed to the `TraceEvent` library, focusing on performance analysis and bug fixes. Their work involved addressing issues in activity tracking, adding new features for EventSource events, and modifying code related to the symbol reader. They also made several changes to the codebase related to performance analysis tools within the repository. Additionally, the user introduced experimental features and refactored code to optimize performance, specifically related to thread time and sample profiling.
Application Insights Profiler sample and documentation
Contributions:29 releases, 9 reviews, 167 commits in 4 years 9 months
dotnetapplication-insightsetwclrcoreclr
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