jeejeelee/vllm
Feb 2026 – Mar 2026
2 Months active
Languages Used
Python
Technical Skills
Python programmingasynchronous programmingmachine learningreal-time audio processingASGIPrometheus
pougetat
PROFILE
Pougetat
Thomas Pouget-Abadie contributed to the jeejeelee/vllm repository by developing real-time streaming and monitoring features over a two-month period. He implemented Qwen3-ASR real-time audio streaming support, introducing a new audio buffer class and updating interfaces to enable low-latency speech-to-text processing. In the following month, Thomas enhanced operational visibility by building WebSocket metrics middleware for the /realtime endpoint, integrating Prometheus-based monitoring to track connection activity and duration. His work leveraged Python, asynchronous programming, and backend development skills, delivering targeted, production-ready features that improved both the performance and observability of real-time machine learning audio processing workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
343
Activity Months2
Your Network
1252 peopleShared Repositories
1252
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for jeejeelee/vllm. Focused on delivering real-time monitoring enhancements for the /realtime WebSocket endpoint by introducing metrics middleware, improving observability and operational insight. The work aligns with performance and reliability goals and lays groundwork for capacity planning and faster incident response.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for jeejeelee/vllm. Focused on delivering real-time monitoring enhancements for the /realtime WebSocket endpoint by introducing metrics middleware, improving observability and operational insight. The work aligns with performance and reliability goals and lays groundwork for capacity planning and faster incident response.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 — jeejeelee/vllm: Delivered Qwen3-ASR Real-time Streaming Support. Implemented a new audio buffer class and interface updates to enable real-time streaming of audio input for Qwen3-ASR, enabling live transcription and lower latency in speech-to-text workflows. The work centers on the commit [Realtime] Add Qwen3-ASR realtime streaming support (#34613). No major bugs reported this month; primary focus was feature delivery and alignment with streaming architecture.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 — jeejeelee/vllm: Delivered Qwen3-ASR Real-time Streaming Support. Implemented a new audio buffer class and interface updates to enable real-time streaming of audio input for Qwen3-ASR, enabling live transcription and lower latency in speech-to-text workflows. The work centers on the commit [Realtime] Add Qwen3-ASR realtime streaming support (#34613). No major bugs reported this month; primary focus was feature delivery and alignment with streaming architecture.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
ASGIPrometheusPython programmingWebSocketasynchronous programmingbackend developmentmachine learningreal-time audio processing
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