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Strahinja Stamenkovic

PROFILE

Strahinja Stamenkovic

Worked across ROCm/onnxruntime, jeejeelee/vllm, IBM/vllm, ROCm/TheRock, and unslothai/unsloth to enhance GPU software reliability, maintainability, and efficiency. Improved logging accuracy in MIGraphX Execution Provider for ROCm/onnxruntime using C++ to support better diagnostics. Refactored FP8 kv-scale remapping logic in jeejeelee/vllm with Python, reducing code duplication and technical debt. Addressed quantization robustness in IBM/vllm by preventing zero-width component errors. Developed a smoke-testing framework and enabled 4-bit quantization for AMD GPUs in ROCm/TheRock and unslothai/unsloth, leveraging PyTorch and Python scripting to accelerate validation and improve inference performance while maintaining code quality across repositories.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

6Total
Bugs
3
Commits
6
Features
3
Lines of code
997
Activity Months4

Your Network

3322 people

Work History

December 2025

3 Commits • 2 Features

Dec 1, 2025

December 2025 monthly summary focusing on strengthening GPU software quality, reliability, and efficiency across ROCm/TheRock and unslothai/unsloth. Delivered a dedicated AMD GPU smoke-testing framework, enabling more stable PyTorch smoke test execution on AMD hardware, and enabled 4-bit quantization for Radeon GPUs to improve model efficiency. Fixed a critical import issue to restore runtime functionality and maintainability. These efforts reduce regression risk, accelerate validation cycles, and improve inference performance on AMD platforms while preserving code quality and cross-repo collaboration.

August 2025

1 Commits

Aug 1, 2025

August 2025: Focused on improving robustness and stability of the quantization path in IBM/vllm. Implemented a targeted fix to handle zero-width components in QKVParallelLinear when used with QKVCrossParallelLinear, preventing runtime errors and improving reliability in production deployments.

May 2025

1 Commits • 1 Features

May 1, 2025

May 2025 monthly summary for the jeejeelee/vllm repository, focusing on code quality, maintainability, and targeted refactoring that streamlines FP8 kv-scale remapping logic in DbrxForCausalLM. This month centered on removing duplication, reducing technical debt, and laying groundwork for safer future FP8-related changes.

October 2024

1 Commits

Oct 1, 2024

For 2024-10, delivered reliability-focused work in ROCm/onnxruntime. The primary achievement was fixing MIGraphX Execution Provider logging accuracy to reflect actual input shape detection and recompilation behavior, leading to more accurate diagnostics and smoother issue resolution. No new user-facing features were released this month; emphasis was on correctness, observability, and release readiness. This work reduces ambiguity in logs and contributes to faster triage and better developer experience.

Activity

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Quality Metrics

Correctness96.8%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage43.4%

Skills & Technologies

Programming Languages

C++Python

Technical Skills

C++ developmentGPU ProgrammingGPU programmingMachine LearningPyTorchPythonPython developmentPython programmingPython scriptingbackend developmentcode refactoringlogging and debuggingmodel optimizationquantizationsoftware maintenance

Repositories Contributed To

5 repos

Overview of all repositories you've contributed to across your timeline

unslothai/unsloth

Dec 2025 Dec 2025
1 Month active

Languages Used

Python

Technical Skills

GPU ProgrammingMachine LearningPythonPython development

ROCm/onnxruntime

Oct 2024 Oct 2024
1 Month active

Languages Used

C++

Technical Skills

C++ developmentlogging and debuggingsoftware maintenance

jeejeelee/vllm

May 2025 May 2025
1 Month active

Languages Used

Python

Technical Skills

Pythonbackend developmentcode refactoring

IBM/vllm

Aug 2025 Aug 2025
1 Month active

Languages Used

Python

Technical Skills

Python programmingmodel optimizationquantization

ROCm/TheRock

Dec 2025 Dec 2025
1 Month active

Languages Used

Python

Technical Skills

GPU programmingPyTorchPython scriptingtesting