Hello - I'm Gaurav.

I bring 15+ years of experience across product engineering, entrepreneurship, and enterprise architecture. Since 2025, I've been focused on designing, evaluating, and operationalising AI agents in real-world systems.

I work with teams that are moving beyond demos into production.

How I Typically Engage

  • Early stage: Define architecture + feasibility
  • Build stage: Design workflows + evaluation
  • Production stage: Improve reliability + operations

1. Agent Design & Architecture

I help teams design agents that are actually usable in real systems, not just demos.

  • Define agent roles, boundaries, and workflows (single vs multi-agent)
  • Structure reasoning flows and task decomposition
  • Design tool usage patterns and API integrations
  • Ensure clarity between user intent -> agent actions -> outputs

3. Evaluation, Reliability & Guardrails

This is where most teams struggle, and where I spend a lot of time.

  • Define evaluation frameworks beyond simple accuracy
  • Build test datasets and real-world scenarios
  • Measure reliability across runs, not just single outputs
  • Add guardrails for safety, cost, and consistency

This is critical because agents are non-deterministic systems and need continuous evaluation, not just QA.

4. Productionisation & Operations

Getting agents to work once is easy.

Getting them to work reliably in production is the real problem.

  • Deploy agents into real user workflows and systems
  • Monitor performance, cost, and latency
  • Implement human-in-the-loop controls where needed
  • Continuously improve via feedback loops and iteration

In practice, most production agents rely on simple, controlled workflows with strong monitoring, not complexity.

Latest Writing

Notes from the work

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