Azure-Samples/communication-services-dotnet-quickstarts
Nov 2024 – Nov 2024
1 Month active
Languages Used
C#JSONMarkdown
Technical Skills
API IntegrationAzure Communication ServicesAzure OpenAIAzure OpenAI ServiceBackend DevelopmentCall Automation
Anuj Issar
PROFILE
Anuj Issar
Anuj Issar developed a real-time AI-enabled voice streaming feature for the Azure-Samples/communication-services-dotnet-quickstarts repository, focusing on Call Automation scenarios. He implemented bi-directional audio streaming between Azure Communication Services and Azure OpenAI Service using WebSocket, supporting 24k PCM16 audio for interactive conversational AI within calls. The work involved upgrading the integration to OpenAI beta2 and refactoring the codebase to improve maintainability and support future enhancements. Utilizing C#, JSON, and backend development skills, Anuj established an end-to-end streaming pipeline that enables seamless real-time communication, addressing the need for dynamic, AI-driven voice interactions in enterprise call automation workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
877
Activity Months1
Your Network
4179 people
Work History
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024 performance summary for Azure-Samples/communication-services-dotnet-quickstarts. Delivered a real-time AI-enabled voice streaming feature for Call Automation by implementing bi-directional audio streaming between Azure Communication Services and Azure OpenAI Service using WebSocket. The integration supports 24k PCM16 audio input/output to enable interactive conversational AI within calls. Upgraded the integration to OpenAI beta2 and refactored the implementation to simplify the codebase for easier maintenance and future iterations.
3 Commits • 1 Features
Nov 1, 2024November 2024 performance summary for Azure-Samples/communication-services-dotnet-quickstarts. Delivered a real-time AI-enabled voice streaming feature for Call Automation by implementing bi-directional audio streaming between Azure Communication Services and Azure OpenAI Service using WebSocket. The integration supports 24k PCM16 audio input/output to enable interactive conversational AI within calls. Upgraded the integration to OpenAI beta2 and refactored the implementation to simplify the codebase for easier maintenance and future iterations.
November 2024
Activity
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Quality Metrics
Correctness83.4%
Maintainability80.0%
Architecture83.4%
Performance73.4%
AI Usage53.4%
Skills & Technologies
Programming Languages
C#JSONMarkdown
Technical Skills
API IntegrationAzure Communication ServicesAzure OpenAIAzure OpenAI ServiceBackend DevelopmentCall AutomationReal-time CommunicationWebSockets
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