Conversational AI / Voice Infrastructure
Real-Time Voice AI Operations
Streaming speech, intelligent interruptions, and seamless human handoffs. Built for the pace of a real conversation.
THE ENGINEERING STORYFrom complexity
From complexity
to capability.
The challenge
Coordinate speech processing, telephony events, and concurrent sessions without making the caller wait.
Engineering contributions
- Developed Python and LiveKit voice agents with Twilio, Deepgram, and ElevenLabs.
- Improved streaming performance, interruption handling, and human handoffs.
- Built Go services for concurrent sessions and telephony events.
- Used gRPC and Redis for coordination, retries, and idempotent event processing.
Performance & reliability
Median voice response latency decreased from 1.8 seconds to 1.3 seconds.
REPORTED ENGINEERING OUTCOME1.3smedian voice response
Results are specific to this workstream and drawn from the supplied professional history. Preview interface data is illustrative.
Tools behind the work
PythonLiveKitWebRTCSIPTwilioDeepgramElevenLabsGogRPCRedis
Explore the reconstructed interface
The visual demonstration shows how these capabilities can be presented. It uses local sample data and does not connect to employer systems.
Open illustrative demonstrationNEXT ENGINEERING STORY