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Saurabh DantaniFull Stack Developer
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Full Stack1000+ Leads★ Featured

AI Voice Campaign Platform (Calling Agent)

Enterprise SaaS platform enabling businesses to automate voice call campaigns using AI agents. Features multi-tenant architecture with separate admin and client portals, real-time call monitoring via WebSockets, bulk lead management (1000+ leads), AI-powered conversations, drag-and-drop agent builder, real-time testing, comprehensive analytics dashboard, multi-channel deployment, and Twilio phone integration. Built with clean architecture using Repository Pattern, implements Redis job queues for scalable campaign processing. Built with clean modular architecture, rigorous automated testing, and comprehensive logging. Designed from the ground up for high reliability, security, and lightning-fast user interactions.

AI Voice Campaign Platform (Calling Agent) - Full Stack Architecture & Implementation
The Challenge

Businesses needed automated voice call campaigns at scale

The Solution

Built AI calling agent with real-time WebSocket monitoring and multi-tenant architecture

The Impact

1000+ leads handled per campaign with live call tracking

Technologies & Tools

Next.jsReactTypeScriptNode.jsExpress.jsMongoDBRedisSocket.ioOpenAI APITanStack QueryTailwind CSSJWTTwilio API

Key Engineering Challenges

1Handling thousands of concurrent WebSocket connections during bulk call campaigns
2Integrating Twilio voice streams with ultra-low latency audio processing
3Building multi-tenant database partitioning ensuring strict client data isolation
4Orchestrating background call retries and status webhooks using Redis queues

Results & Measurable Outcomes

Successfully processed 1,000+ automated voice call leads per campaign
Maintained sub-150ms real-time audio transcript and monitoring streaming
Empowered clients to build and configure custom AI agent flows via drag-and-drop
Achieved 99.8% system uptime during enterprise campaign deployments

Interested in Building Something Similar?

I build high-scale web platforms, AI voice automation systems, App Store mobile applications, and resilient data extraction pipelines.

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