Blaizzy/mlx-audio
Jun 2026 – Jun 2026
1 Month active
Languages Used
MarkdownPython
Technical Skills
Audio ProcessingDeep LearningDocumentationMachine LearningPythonSpeech Recognition
ARahim3
PROFILE
Arahim3
Developed streaming automatic speech recognition support for NVIDIA Nemotron 3.5 within the Blaizzy/mlx-audio repository, focusing on audio processing and deep learning techniques. Integrated a cache-aware FastConformer architecture and language-ID prompting to enhance real-time transcription capabilities. Improved maintainability by reorganizing model weights into the mlx-community repository and updating documentation to clarify deployment and usage steps. Conducted code cleanup and removed redundant remapping, streamlining the codebase for future enhancements. Utilized Python and Markdown to implement features and update technical documentation. The work emphasized maintainable engineering practices and facilitated easier adoption and extension of Nemotron 3.5 ASR streaming functionality.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
1,502
Activity Months1
Your Network
77 peopleWork History
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026: Delivered Nemotron 3.5 ASR streaming support in Blaizzy/mlx-audio, improved maintainability through weights reorganization and documentation updates, and completed code cleanup to facilitate future enhancements and deployments.
2 Commits • 1 Features
Jun 1, 2026June 2026: Delivered Nemotron 3.5 ASR streaming support in Blaizzy/mlx-audio, improved maintainability through weights reorganization and documentation updates, and completed code cleanup to facilitate future enhancements and deployments.
June 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Audio ProcessingDeep LearningDocumentationMachine LearningPythonSpeech Recognition
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