AI / Realtime / Full Stack

Magical Nest Voice AI Consultation Platform

Built production voice infrastructure and backend services for real-time AI consultations with contextual memory, semantic retrieval, and resilient third-party integrations.

Problem

The product required real-time voice interactions, accurate contextual retrieval, and stable service behavior across unreliable third-party APIs.

Solution

Implemented WebRTC voice handling, LangChain-based dialogue orchestration, RAG with Pinecone, Redis-backed session state, and graceful degradation patterns.

Architecture

Distributed FastAPI microservices with gRPC communication, WebSocket session tracking, Redis state persistence, and AI inference orchestration.

Impact

Supported 500+ concurrent voice sessions, 5K+ requests per minute, and achieved strong context retention through semantic caching and state persistence.