Exotel
Voice AI / conversational AI platform · Bangalore
Forward Deployed Engineer
Jun 2026 – Present
- Shipped 10+ LLM voice agents to production in 5 languages and took 16 bots for 15+ clients through formal evaluation, owning requirements, prompts, tool/KB design, integrations and go-live.
- Ran client calls, demos and requirement sessions with CSM and sales across 10+ accounts, turning call feedback into same-day fixes.
- Built AutoLoop inside Argus: a 7-stage workflow in an agentic harness with symlinked bot repos and 16 skills. It generates scenarios, compares prompt techniques in chat simulations, selects winners and rolls back regressions. Case study
- Built Argus's in-house voice simulator for tests between chat simulations and real calls; made Argus/AutoLoop usable from AI coding tools (Cursor, Claude Code). Harness used on 10+ builds; bot delivery went from ~1 week to 1–2 days (estimate). Case study
- Migrated Bawa's booking agent for 6 hotels to the CIN booking provider with HMAC-signed Apache Camel routes; passed 313/313 route and 114/114 booking checks on staging, then confirmed bookings after the production cutover. Case study
- Automated Kinetic Green's campaign cycles (150K lead entries) with Python, Jenkins and AWS S3/SES: post-call lead reports and deterministic PDF summaries emailed after each campaign, with backups and validated lead reloads. Case study
- Converted to full-time ↑
Tech Intern, GenAI
Oct 2025 – Jun 2026
- Built Argus, a voicebot debugging/evaluation platform with Google Chat access, Gemini tool calling, VAD latency analysis, an HMAC-signed recording proxy and Splunk On-Call alerts; cut triage from ~30 min to under a minute. Case study
- Hardened the LangGraph LLM path as DRI for 150K+ calls/month (incl. BlueDart): 7 s wall-clock timeout/fallback, parallel-tool-call guards, TTS markdown filter and a reasoning-leak guard tested on 269 production replies. Case study
- Scaled Pipecat WebSocket handling from 1 to 8 workers behind NGINX least_conn; added Prometheus/Grafana monitoring with EC2 discovery and 5 Ansible roles for provisioning. Case study
- Added per-company custom test cases and scenarios to the bot test framework: FastAPI endpoints, Redis storage, a React/TypeScript UI and a scenario-mix algorithm.

