About Me

Software engineer building reliable systems at the intersection of AI, automation, and pragmatic engineering.

I build software systems that solve messy, real-world problems and hold up in production.

Most of my work has been around production AI systems, data pipelines, and automation. I currently build and operate conversational AI agents for auto dealerships, with a focus on evaluation, response quality, cost, and latency in real operating environments. Shipping is the easy part. Making systems reliable, debuggable, and economical at scale is the real work.

I've designed and maintained end-to-end data ingestion pipelines including browser automation for legacy dealership systems without APIs, large-scale scraping, and inventory normalization. I've also built core CRM components, workflow orchestration, and a dealer website builder with an integrated CMS.

I enjoy working at the intersection of ambiguity and constraints including bad data, partial integrations, and unclear workflows. My approach: simplify aggressively, design for failure, optimize for maintainability.

I'm interested in how AI can be applied pragmatically: not as hype, but as infrastructure that improves reliability, speed, and decision-making.

Experience

01

Software Engineer II

Spyne

May 2026 to present · Gurugram, Haryana, India

  • Scaling Spyne’s production conversational AI stack to support increasing traffic, concurrency, and reliability requirements.
  • Leading the migration of production voice agents from Vapi to LiveKit, giving us greater control over infrastructure, customization, and performance.
  • Reduced voice-agent infrastructure costs from $0.26 to $0.10 per minute, a reduction of approximately 62%.
  • Strengthening service resilience through disaster recovery, failure handling, and production readiness across the conversational AI platform.
02

Software Engineer I

Spyne

Jan 2024 to May 2026 · India

  • Built Spyne’s production conversational AI stack from zero to one on Vapi, powering dealership lead handling, follow-ups, and customer conversations, then began laying the groundwork for the transition to LiveKit.
  • Improved agent responsiveness and conversation quality through prompt optimization, streaming pipelines, turn-taking improvements, and infrastructure tuning.
  • Built the core telephony layer across Twilio, Vonage, and Telnyx, including caller identity, CNAM lookup, STIR/SHAKEN support, banned-number filtering, and A2P 10DLC workflows.
  • Shipped full-stack systems across inventory ingestion, dealer websites and CMS, CRM workflows, lead management, and automated customer follow-ups.