I build AI agents that automate real business and get measured on outcomes — voice agents that talk on the phone (LiveKit + SIP, streaming STT-LLM-TTS), WhatsApp commerce agents that take a customer from catalog to Razorpay payment without leaving the chat, and the chat & email automation around them. Founding AI Engineer at Fika.ai. The metric is never the demo — it's collection rates, bookings, and latency. Hyderabad, India.
livekit/agents #4798 · fix(sarvam): prevent transcript loss after long agent responses
A race condition in the Sarvam STT plugin: agent responses longer than ~10 s triggered premature task cancellation while buffered audio was still being processed — transcripts were silently dropped and the agent went mute mid-call. Found it running live voice-agent operations; fixed it upstream.
| Building | Multi-channel AI agents (voice · WhatsApp · chat · email) for healthcare, fintech and real-estate clients at Fika.ai |
| Running | Live voice-agent ops — SIP trunks, STT/TTS provider A/B tests, per-call cost & latency telemetry |
| Exploring | Speech-to-speech (Gemini Live), predictive & outbound dialers, MCP tool servers |
| Project | The number that matters | |
|---|---|---|
| Voice | WhatsApp Voice Bridge | WhatsApp Desktop → WASAPI → LiveKit → Gemini Live: two-way audio at 300–800 ms RTT, zero SIP cost |
| Voice | LiveKit SIP Manager | Full-stack SIP ops dashboard — trunks, dispatch rules, IP whitelisting, dialer — zero CLI |
| Agents | NBFC collections voice agent | Production collections calls at Fika.ai — collection rate up 50% |
| Agents | LangGraph + RAG assistant | Sub-5 s end-to-end latency, 15% engagement uplift |
| Lab | ai-experiments-lab | Reproducible experiments across ML · DL · NLP · LLMs, one concept at a time |
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