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Open to AI engineering work

India · Remote · 6+ years

I design & ship AI agentsthat survive real users — guardrails, observability, and cost control included.

  • 6+

    years building software

  • 50+

    engineers mentored

  • 60%

    faster deployments

  • 35%

    fewer production issues

(01) — Positioning

A flashy LLM demo takes a weekend. An AI agent you can actually run in production — that's the real work.

Full-Stack AI Engineer building LLM-powered, agentic systems with LangChain, LangGraph, RAG, and MCP over Claude (AWS Bedrock) and OpenAI. Proven impact in agent guardrails, LLM observability, and cost optimization — shipping well-tested AI systems on AWS and Azure for enterprise clients in fintech, publishing, and telecom.

(03) — How I work

Engineering AI that survives contact with production.

Reliability

Real-time loop guardrails wrap every tool call — a HookedToolNode plus a HookRunner with a PASS / RESOLVE / REWRITE / OBSERVE model — that catch pathological agent loops and self-correct before they blow the context window.

~$946 / 2wk
token waste eliminated
1M+ tokens
context blowouts prevented

(04) — Contact

Have an agent to put into production?