Sai Veluri is a seasoned back-end and runtime engineer with 10 years of experience building and optimizing low-level systems for .NET and cross-platform runtimes. Based in Guntur, India, he specializes in multithreading, performance tuning, and observability—contributing significant fixes and features to high-profile projects like dotnet/runtime, mono, and Microsoft PerfView. His work spans removing spin-wait inefficiencies, improving thread pool and timer behavior, and enhancing diagnostic tooling to expose tiered compilation and runtime metrics. Sai blends deep systems understanding with practical engineering, having touched JIT/tiering logic, Unix wait subsystems, and SOS debugger extensions. Notably, his contributions improve both runtime performance and the developer experience for diagnosing complex .NET behaviors.
10 years of coding experience
Bachelor of Technology - BTech, Bachelor of Technology - BTech at MVGR College of Engineering
PerfView is a CPU and memory performance-analysis tool
Role in this project:
Back-end Developer & Performance Engineer
Contributions:3 reviews, 13 commits, 8 PRs in 2 years 1 month
Contributions summary:Sai primarily contributed to the `microsoft/perfview` repository by enhancing the tool's capabilities for analyzing .NET performance. They focused on improving the analysis of tiered compilation, adding support for new events and data related to it. The contributions also included changes to display optimization tiers within stack traces and in the JITStats view, improving the tool's ability to analyze code versions based on optimization levels. Furthermore, the user refactored and updated existing code to ensure the correct handling of new event types and data structures related to .NET runtime performance.
.NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.
Role in this project:
Back-end Developer
Contributions:446 reviews, 403 commits, 313 PRs in 7 years 5 months
Contributions summary:Sai contributed to the .NET runtime, specifically focusing on low-level systems code. Their work involved implementing and refactoring features related to code versioning, tiered compilation, and call counting, which included adding and modifying relevant code in files like `codeversion.cpp`, `tieredcompilation.cpp`, `prestub.cpp`, and other files related to JIT and tiering. Their changes included fixing and improving the call counting mechanism, refactoring tiering logic and addressing several race conditions. The user demonstrated a strong understanding of the .NET runtime's internal workings, including JIT compilation, memory management, and multithreading.
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