pytorch/pytorch
Dec 2025 – Apr 2026
3 Months active
Languages Used
C++Python
Technical Skills
C++ developmentperformance optimizationsystem programmingdata compressiondebuggingProfiling and debugging
Nikolay Beloborodov
PROFILE
Nikolay Beloborodov
Nikita Beloborodov enhanced the PyTorch repository by developing features and fixes focused on stack trace readability, profiling, and debugging efficiency for AOTInductor and fused kernels. He introduced a method to compress stack traces by replacing full file paths with filenames, integrated into KernelContext using C++ and Python, which improved trace clarity and reduced debugging noise. Nikita also delivered a profiling-friendly frame-pointer option for shared libraries, enabling accurate stack traces with tools like Strobelight. Additionally, he addressed stack parsing reliability for fused kernels, validating changes through end-to-end profiling. His work demonstrated depth in system programming, performance optimization, and collaborative code review.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
146
Activity Months3
Your Network
3455 peopleSame Organization
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Aaryaman SagarMember
Aashay GaikwadMember
Ajanthan AsogamoorthyMember
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 (2026-04) monthly summary for pytorch/pytorch. Focused on improving observability and profiling for AOTInductor by delivering a profiling-friendly frame-pointer option for shared libraries, enabling accurate stack traces with Strobelight and other profiling tools.
1 Commits • 1 Features
Apr 1, 2026April 2026 (2026-04) monthly summary for pytorch/pytorch. Focused on improving observability and profiling for AOTInductor by delivering a profiling-friendly frame-pointer option for shared libraries, enabling accurate stack traces with Strobelight and other profiling tools.
April 2026
March 2026
1 Commits
Mar 1, 2026Month: 2026-03. Focused on reliability and debuggability of kernel stack traces for fused kernels in PyTorch, with end-to-end validation and profiling to ensure robustness in production-like workloads. Delivered a targeted fix for aoti stack parsing, accompanied by tests, code review, and merge readiness (PR #177026; Differential Revision: D95935281).
March 2026
1 Commits
Mar 1, 2026Month: 2026-03. Focused on reliability and debuggability of kernel stack traces for fused kernels in PyTorch, with end-to-end validation and profiling to ensure robustness in production-like workloads. Delivered a targeted fix for aoti stack parsing, accompanied by tests, code review, and merge readiness (PR #177026; Differential Revision: D95935281).
December 2025
1 Commits • 1 Features
Dec 1, 2025Month: 2025-12. Focus: PyTorch repository work centered on improving stack trace readability and profiling efficiency for AOTI; feature delivery completed with code integration and validation. No major bugs reported this month. The work aligns with developer productivity and debugging efficiency goals, with measurable impact on trace clarity and profiling workflow.
1 Commits • 1 Features
Dec 1, 2025Month: 2025-12. Focus: PyTorch repository work centered on improving stack trace readability and profiling efficiency for AOTI; feature delivery completed with code integration and validation. No major bugs reported this month. The work aligns with developer productivity and debugging efficiency goals, with measurable impact on trace clarity and profiling workflow.
December 2025
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Quality Metrics
Correctness93.4%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage26.6%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++ developmentProfiling and debuggingPython programmingdata compressiondebuggingperformance optimizationsystem programming
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