Monash-FIT3170/2025W2-QualAI
Mar 2025 – Sep 2025
2 Months active
Languages Used
MarkdownPythontext
Technical Skills
DocumentationAPI DevelopmentAudio ProcessingBackend DevelopmentMachine Learning IntegrationPython
Amaan17
PROFILE
Amaan17
Amaan Muhammad contributed to the Monash-FIT3170/2025W2-QualAI repository by developing and integrating a Whisper-based audio transcription system, replacing the previous Vosk pipeline to enable faster processing and support for additional formats such as MP4. He updated the FastAPI endpoint to incorporate the new transcription logic, optimized file uploads, and removed legacy dependencies, resulting in a streamlined backend. Amaan also improved the Vosk model by pruning its vocabulary, reducing resource usage and enhancing throughput. His work, primarily in Python and leveraging machine learning integration, demonstrated careful attention to documentation, onboarding, and technical debt reduction, reflecting a thoughtful and methodical engineering approach.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
369,574
Activity Months2
Your Network
7 people
Work History
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 highlights for Monash-FIT3170/2025W2-QualAI: Implemented Whisper-based transcription to replace the Vosk pipeline, enabling faster transcripts and broader file format support (including MP4). Updated the FastAPI endpoint to integrate the new transcription logic and optimized file uploads, followed by cleanup to remove legacy Vosk dependencies. Performed Vosk vocabulary optimization to prune words, reducing resource usage and improving throughput, with related updates for multi-upload indicators. These changes deliver faster transcripts, broader format support, reduced compute footprint, and a cleaner, upgrade-ready codebase.
3 Commits • 1 Features
Sep 1, 2025September 2025 highlights for Monash-FIT3170/2025W2-QualAI: Implemented Whisper-based transcription to replace the Vosk pipeline, enabling faster transcripts and broader file format support (including MP4). Updated the FastAPI endpoint to integrate the new transcription logic and optimized file uploads, followed by cleanup to remove legacy Vosk dependencies. Performed Vosk vocabulary optimization to prune words, reducing resource usage and improving throughput, with related updates for multi-upload indicators. These changes deliver faster transcripts, broader format support, reduced compute footprint, and a cleaner, upgrade-ready codebase.
September 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for Monash-FIT3170/2025W2-QualAI: Documented project contributions by updating the README to list contributors with names and emails; no functional changes were released this month. This activity enhances attribution, onboarding, and governance without impacting product behavior.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for Monash-FIT3170/2025W2-QualAI: Documented project contributions by updating the README to list contributors with names and emails; no functional changes were released this month. This activity enhances attribution, onboarding, and governance without impacting product behavior.
Activity
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Quality Metrics
Correctness87.6%
Maintainability85.0%
Architecture85.0%
Performance87.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythontext
Technical Skills
API DevelopmentAudio ProcessingBackend DevelopmentDocumentationMachine Learning IntegrationPythondata managementvocabulary optimization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline