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Daniel Hernandez-Juarez

PROFILE

Daniel Hernandez-juarez

Worked on ROCm/rocMLIR and AMDMIGraphX, delivering twelve features and multiple bug fixes over four months. Focused on compiler development and machine learning frameworks, the work included stabilizing quantized attention verification for i8, enhancing grouped convolution and FP8 support, and improving test infrastructure for models like ResNet. Refactored attribute naming with a standardized prefix to improve code clarity and maintainability in GPU backend paths. Used C++, MLIR, and Python to implement robust verification, safer type checks, and bufferization enhancements. The contributions strengthened type safety, broadened model support, and laid groundwork for future optimizations in the ROCm GPU software stack.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

22Total
Bugs
3
Commits
22
Features
12
Lines of code
7,300
Activity Months4

Work History

April 2026

1 Commits • 1 Features

Apr 1, 2026

April 2026 monthly summary for ROCm/AMDMIGraphX: Implemented attribute prefix standardization for rocMLIR GPU operations by introducing a 'rock' prefix across relevant attributes. This change improves naming clarity, reduces ambiguity in GPU backend code paths, and lays groundwork for future tooling and optimizations. All changes are contained to internal code paths; no public API changes. Commit referenced: fcb32dbf58f357c951b44c561443779fa9283006 (Add rock prefix for rocMLIR attributes #4748).

March 2025

18 Commits • 9 Features

Mar 1, 2025

March 2025 monthly performance summary for ROCm/rocMLIR focused on delivering core compatibility improvements, test infrastructure hardening, and feature-rich enhancements across MLIR/ROCM integration. The work emphasized business value through increased stability, broader hardware support, and improved validation and upgradability.

February 2025

2 Commits • 2 Features

Feb 1, 2025

February 2025 monthly summary for ROCm/rocMLIR focused on delivering core MLIR enhancements in TOSA/AMDGPU and the MHAL pipeline to broaden model coverage, strengthen type-safety, and improve maintainability. Key work includes enabling grouped Conv2D support and safer FP checks in TOSA/AMDGPU, along with bufferization API improvements and a pipeline naming update to reflect an updated control-flow role. These efforts contribute to broader model support, reduced risk in type handling, and a clearer, more maintainable MLIR pipeline for future performance work.

November 2024

1 Commits

Nov 1, 2024

November 2024: ROCm/rocMLIR focused on stabilizing quantized attention verification for i8. A verification bug in ROCm MLIR gen was fixed by adjusting test configuration and MLIR RMS_threshold handling, improving verification accuracy for i8 attention operations and overall robustness of the i8 path. This fix reduces risk of misverification in production and supports stable progress toward optimized quantized attention workloads.

Activity

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Quality Metrics

Correctness85.0%
Maintainability84.6%
Architecture79.6%
Performance71.8%
AI Usage21.8%

Skills & Technologies

Programming Languages

CC++CMakeLLVM IRMLIRN/APythonTOMLText

Technical Skills

Attention MechanismsBuild System ConfigurationBuild System ManagementBuild SystemsC++C++ developmentCI/CDCode CleanupCode FormattingCode RefactoringCompiler DevelopmentDebuggingDialect DevelopmentEmbedded SystemsFP8 Support

Repositories Contributed To

2 repos

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

ROCm/rocMLIR

Nov 2024 Mar 2025
3 Months active

Languages Used

C++TOMLCMakeCLLVM IRMLIRN/APython

Technical Skills

Compiler DevelopmentLow-Level OptimizationMLIRTestingEmbedded SystemsMachine Learning Frameworks

ROCm/AMDMIGraphX

Apr 2026 Apr 2026
1 Month active

Languages Used

C++Python

Technical Skills

C++ developmentGPU programmingMLIRTesting