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
Developed a real-time AI-enabled voice streaming feature for the Azure-Samples/communication-services-dotnet-quickstarts repository, enabling bi-directional audio streaming between Azure Communication Services and Azure OpenAI Service for Call Automation scenarios. Leveraged WebSockets to support 24k PCM16 audio input and output, allowing interactive conversational AI within live calls. The implementation involved upgrading the integration to OpenAI beta2 and refactoring the codebase to improve maintainability and facilitate future enhancements. Utilized C# for backend development, focusing on API integration and real-time communication. The work established an end-to-end streaming capability, addressing the need for seamless, low-latency conversational AI experiences in telephony applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
877
Activity Months1
Your Network
4734 peopleSame Organization
@microsoft.com4720
GitOpsMember
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Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Alexandre GattikerMember
Ami HollanderMember
AndersMember
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
Repositories Contributed To
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