ROCm/rocm-systems
Sep 2025 – Jan 2026
4 Months active
Languages Used
C++PythonYAMLMarkdown
Technical Skills
Code FormattingCode ManagementLicensingConfiguration ManagementPython scriptingdata analysis
ggottipa-amd
PROFILE
Ggottipa-amd
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
6Total
Bugs
2
Commits
6
Features
2
Lines of code
1,297
Activity Months4
Your Network
1760 people
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focusing on delivering operator-level profiling, reliability improvements, and tangible business value for ROCm-based performance analysis.
1 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focusing on delivering operator-level profiling, reliability improvements, and tangible business value for ROCm-based performance analysis.
January 2026
November 2025
1 Commits
Nov 1, 2025Month: 2025-11 — Delivered a targeted fix to Roofline profiling accuracy in ROCm/rocm-systems, with cross-platform validation and documentation updates. The work reduces misleading performance signals by removing FP8 and BF16 from peak VALU datatypes and ensures analytics align with supported datapaths, supporting more reliable performance guidance for developers and customers.
November 2025
1 Commits
Nov 1, 2025Month: 2025-11 — Delivered a targeted fix to Roofline profiling accuracy in ROCm/rocm-systems, with cross-platform validation and documentation updates. The work reduces misleading performance signals by removing FP8 and BF16 from peak VALU datatypes and ensures analytics align with supported datapaths, supporting more reliable performance guidance for developers and customers.
October 2025
1 Commits
Oct 1, 2025October 2025 (ROCm/rocm-systems): Implemented a critical data integrity fix in GPU configuration data by correcting a typo in mi_gpu_spec.yaml, preventing downstream misconfiguration and ensuring reliable GPU deployment. The fix targets the chip ID field by correcting 'virutal' to 'virtual' and is associated with SWDEV-557963 (#1222). The change was committed as c8ab57fe15ce87713865b5e272580b1b15538623. This improvement strengthens configuration validation, reduces support incidents, and enhances overall system stability for ROCm users. Technologies demonstrated include YAML data accuracy, Git-based change management, and issue-tracking collaboration, delivering measurable business value through increased reliability and predictability of GPU configurations.
1 Commits
Oct 1, 2025October 2025 (ROCm/rocm-systems): Implemented a critical data integrity fix in GPU configuration data by correcting a typo in mi_gpu_spec.yaml, preventing downstream misconfiguration and ensuring reliable GPU deployment. The fix targets the chip ID field by correcting 'virutal' to 'virtual' and is associated with SWDEV-557963 (#1222). The change was committed as c8ab57fe15ce87713865b5e272580b1b15538623. This improvement strengthens configuration validation, reduces support incidents, and enhances overall system stability for ROCm users. Technologies demonstrated include YAML data accuracy, Git-based change management, and issue-tracking collaboration, delivering measurable business value through increased reliability and predictability of GPU configurations.
October 2025
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for ROCm/rocm-systems focused on license header standardization across the rocprofiler-compute component. Delivered consistent header formatting and license blocks, laying groundwork for easier license audits and maintainability. No explicit major bug fixes recorded in the provided data. Overall impact: reduced licensing risk, improved codebase consistency, and clearer contributor guidelines. Demonstrated skills in patch management, codebase standardization, and cross-repo collaboration.
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for ROCm/rocm-systems focused on license header standardization across the rocprofiler-compute component. Delivered consistent header formatting and license blocks, laying groundwork for easier license audits and maintainability. No explicit major bug fixes recorded in the provided data. Overall impact: reduced licensing risk, improved codebase consistency, and clearer contributor guidelines. Demonstrated skills in patch management, codebase standardization, and cross-repo collaboration.
Activity
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Quality Metrics
Correctness96.6%
Maintainability93.4%
Architecture93.4%
Performance90.0%
AI Usage33.4%
Skills & Technologies
Programming Languages
C++MarkdownPythonYAML
Technical Skills
Code FormattingCode ManagementConfiguration ManagementData AnalysisLicensingProfilingPythonPython scriptingSoftware Developmentdata analysisperformance profiling
Repositories Contributed To
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