EXCEEDS logo
Exceeds
Alexandra Sidorova

PROFILE

Alexandra Sidorova

Over a two-month period, contributed to nod-ai/SHARK-Platform by expanding Fusilli’s neural network capabilities, implementing arithmetic pointwise operations and grouped convolutions with updated MLIR emission and comprehensive test coverage. This work involved C++ and CMake, focusing on compiler development, performance optimization, and test infrastructure improvements, including reorganizing pointwise tests for maintainability. In ROCm/clr, addressed HIP compiler compatibility by introducing conditional compilation and resolving output streaming issues in amd_hip_bfloat16.h, enhancing cross-compiler robustness and debugging support. The contributions improved model expressiveness, platform reliability, and build stability, demonstrating depth in compiler design, header file management, and GPU computing workflows.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

5Total
Bugs
1
Commits
5
Features
2
Lines of code
1,981
Activity Months2

Work History

January 2026

2 Commits

Jan 1, 2026

For 2026-01, ROCm/clr focused on hardening HIP compiler compatibility and output handling. Delivered fixes addressing compilation robustness across compilers and a missing include to restore proper ostream output streaming in amd_hip_bfloat16.h. The changes reduce build failures, improve cross-compiler portability, and enhance debugging/diagnostics for downstream users. These commits lay groundwork for more stable CI across diverse toolchains.

October 2025

3 Commits • 2 Features

Oct 1, 2025

October 2025 release focused on expanding Fusilli capabilities in nod-ai/SHARK-Platform: delivered arithmetic pointwise operations and grouped convolutions support, with updates to MLIR emission, the PointwiseAttr::Mode enum, benchmark driver, and assembly emitter. Added robust test coverage (samples and lit) and restructured tests by splitting pointwise tests into unary and binary categories to improve maintainability. No major bugs reported; all changes validated through expanded test suites and benchmarks. Business impact: broader model expressiveness, potential performance gains, and stronger reliability for advanced op combinations. Technologies demonstrated include Fusilli internals, MLIR emission, test infrastructure (lit tests), and benchmark integration.

Activity

Loading activity data...

Quality Metrics

Correctness100.0%
Maintainability92.0%
Architecture88.0%
Performance88.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++CMake

Technical Skills

C++C++ developmentCMakeCompiler DevelopmentCompiler designConditional compilationDeep LearningGPU ComputingMLIRPerformance OptimizationSoftware RefactoringTestingheader file management

Repositories Contributed To

2 repos

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

nod-ai/SHARK-Platform

Oct 2025 Oct 2025
1 Month active

Languages Used

C++CMake

Technical Skills

C++CMakeCompiler DevelopmentDeep LearningGPU ComputingMLIR

ROCm/clr

Jan 2026 Jan 2026
1 Month active

Languages Used

C++

Technical Skills

C++ developmentCompiler designConditional compilationheader file management