ROCm/rocm-systems
Sep 2025 – Dec 2025
3 Months active
Languages Used
PythonSQLC++
Technical Skills
Code RefactoringData ProcessingPythonSQLC++ developmentperformance profiling
Aleksei Tumakaev
PROFILE
Aleksei Tumakaev
Worked on the ROCm/rocm-systems repository, delivering backend enhancements focused on profiling and data processing. Refactored the RoCPD summary generation to use direct SQL queries, reducing overhead and simplifying data handling while maintaining full reporting functionality. Improved the ROCm Profiler by introducing prefix handling and case-insensitive matching for summary categories, increasing the accuracy and flexibility of analytics. Addressed a bug in Perfetto visualization by implementing a robust method for normalizing overlapping kernel dispatch timestamps, ensuring reliable profiler timelines. Utilized C++, Python, and SQL throughout, with an emphasis on code refactoring, database management, and performance profiling to support scalable reporting.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
400
Activity Months3
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Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for ROCm/rocm-systems focusing on ROCm Profiler enhancements and robust category matching. The primary deliverable was a feature improvement to the ROCm Profiler's summary categories, introducing prefix handling and case-insensitive matching to improve accuracy and flexibility in category mapping. This change reduces misclassification risk and improves the reliability of performance analytics for developers.
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for ROCm/rocm-systems focusing on ROCm Profiler enhancements and robust category matching. The primary deliverable was a feature improvement to the ROCm Profiler's summary categories, introducing prefix handling and case-insensitive matching to improve accuracy and flexibility in category mapping. This change reduces misclassification risk and improves the reliability of performance analytics for developers.
December 2025
November 2025
1 Commits
Nov 1, 2025November 2025: Key feature delivered and bug fix in ROCm/rocm-systems focused on Perfetto visualization timestamp normalization. Implemented a more accurate method for calculating overlapping kernel dispatch timestamps to guarantee non-negative delta_ts, resulting in more reliable ROCm profiler data and timelines. The change is tracked in commit 90ac6675c2ee8bb20630518c3315c73ce8f4b59c (PR #1568). This improvement reduces debugging time and helps performance engineers drive optimizations more confidently.
November 2025
1 Commits
Nov 1, 2025November 2025: Key feature delivered and bug fix in ROCm/rocm-systems focused on Perfetto visualization timestamp normalization. Implemented a more accurate method for calculating overlapping kernel dispatch timestamps to guarantee non-negative delta_ts, resulting in more reliable ROCm profiler data and timelines. The change is tracked in commit 90ac6675c2ee8bb20630518c3315c73ce8f4b59c (PR #1568). This improvement reduces debugging time and helps performance engineers drive optimizations more confidently.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 (2025-09) ROCm/rocm-systems: RoCPD Summary Generation Performance Improvement delivered via a SQL-based refactor. The summary generator now executes direct SQL queries instead of relying on temporary views, resulting in lower overhead and simplified data handling while preserving full functionality for generating summary and domain reports (including rank-based summaries). This work lays a foundation for faster, more scalable reporting and easier future enhancements.
1 Commits • 1 Features
Sep 1, 2025September 2025 (2025-09) ROCm/rocm-systems: RoCPD Summary Generation Performance Improvement delivered via a SQL-based refactor. The summary generator now executes direct SQL queries instead of relying on temporary views, resulting in lower overhead and simplified data handling while preserving full functionality for generating summary and domain reports (including rank-based summaries). This work lays a foundation for faster, more scalable reporting and easier future enhancements.
September 2025
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Quality Metrics
Correctness86.6%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++PythonSQL
Technical Skills
C++ developmentCode RefactoringData ProcessingPythonSQLbackend developmentdata processingdatabase managementperformance profilingsystem programming
Repositories Contributed To
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