Blaizzy/mlx-audio
Jan 2026 – Jan 2026
1 Month active
Languages Used
C++Python
Technical Skills
Apple Silicon (Metal)Audio ProcessingC++MLX FrameworkMachine LearningModel Optimization
Dmitry Starkov
PROFILE
Dmitry Starkov
Developed and integrated the MossFormer2 SE model for speech enhancement within the Blaizzy/mlx-audio repository, enabling efficient 48kHz audio processing on Apple Silicon. The work involved optimizing the audio pipeline at multiple precision levels and refactoring core components to improve performance and throughput. Leveraging C++, Python, and the MLX framework, the developer focused on model optimization and advanced audio processing techniques tailored for Apple Silicon’s Metal architecture. Comprehensive documentation and robust tests were added to support the new capabilities, ensuring maintainability and reliability. The depth of engineering addressed both computational efficiency and high-quality speech enhancement for end users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
3,831
Activity Months1
Your Network
4136 peopleSame Organization
@users.noreply.github.com4066
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focusing on delivered features, major fixes, impact, and skills demonstrated for Blaizzy/mlx-audio.
1 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focusing on delivered features, major fixes, impact, and skills demonstrated for Blaizzy/mlx-audio.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Apple Silicon (Metal)Audio ProcessingC++MLX FrameworkMachine LearningModel OptimizationPythonSpeech Enhancement
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