
Worked on the TEN-framework repository to deliver real-time fashion AI capabilities by building a WebSocket-based extension for processing live video and audio streams. Refactored the extension architecture to separate the FashionAIClient module and stabilized asynchronous event handling, improving reliability and maintainability. Integrated graph components and Azure/OpenAI services to enhance data analytics and enable scalable AI-assisted workflows. Updated the Ten Runtime Python environment for compatibility with new features, reducing deployment risks. Focused on backend development using Python, asynchronous programming, and data processing, while strengthening security by removing hardcoded credentials and improving the stability of the real-time processing pipeline.
Monthly Performance Summary for 2024-10 (TEN-framework/ten-framework) Key focus: deliver real-time fashion AI capabilities, secure extension architecture, analytics enhancements, and runtime compatibility to drive business value and developer productivity.
Monthly Performance Summary for 2024-10 (TEN-framework/ten-framework) Key focus: deliver real-time fashion AI capabilities, secure extension architecture, analytics enhancements, and runtime compatibility to drive business value and developer productivity.

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