Work

Ten years from test automation to agentic AI, with five years of modernization at scale in between. The thread: build the harness that lets a team trust automation.

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Career at a glance

career.yml

5 of 6 stages passed, 1 running

  1. 2013bootstrap

    DollarsGPT passed

    • Founded a consumer rewards platform while at university
    • Grew from zero to 20,000 users with 1,500+ monthly actives
    • Ran development, partners, payments and growth
  2. 2016build

    Infosys passed

    • BDD frameworks with Selenium, Java and Cucumber
    • Clients: Telstra and the Government of India
    • A report module that made the team 11 times more productive
  3. 2018test

    Test automation passed

    • An organization-wide test automation framework at Morgan Stanley
    • Email-embeddable Cucumber reporting for QA teams
    • Co-invented BLAZE: API specs in, Java test suites out (US patent)
  4. 2020modernize

    Tech at scale passed

    • Five years modernizing technology across Morgan Stanley business units
    • Engineer as a Service: 35% faster modernization rollouts
    • Led 5+ teams to a 40% jump in deployment frequency
    • Cookie-cutter patterns and Kubernetes adoption: 28% faster time-to-market, 45% fewer incidents
  5. 2024release

    Agentic AI passed

    • VP, AI Platform & Tech Modernization
    • Led agentic AI adoption and literacy across engineering teams
    • India Technology Showcase Award for the ACT Conference Portal
  6. 2026next

    In progress running

    • Agent Orchestrator: three specialised agents under one orchestrator, on the Claude Agent SDK
    • Building agents that ship safely inside a regulated enterprise
    • Leaving a cookie-cutter tool behind every fix

What I built at Morgan Stanley

These are internal systems, so there are no screenshots or code here, only what they do.

Agent Orchestrator

A multi-agent orchestration system from 2026: three specialised agents and an orchestrator, built with LangChain and the Claude Agent SDK. It is the internal reference implementation for agentic AI at the firm.

BLAZE (US patent, co-inventor)

BDD Lean Automation Zenith Engine: turns API specifications into executable Java test suites using behaviour-driven development. Granted as US Patent 12,321,256 B1, "Behavior data driven automation test code generating system and method", on 3 June 2025, assigned to Morgan Stanley.

Internal events and conference platform

Built and evolved over 5+ years into the standard for global internal events. Added AI features: proposal submission and review with a recommendation engine for session curation, content filtering, and a Hacker News-style knowledge platform with AI ranking.

AI developer tooling

A VS Code extension for in-place codebase review and modernisation, CLI skills for DevOps automation, and reusable skills infrastructure that cut onboarding and deployment tasks from days to minutes.

Pull request chat

A chat bubble on the pull request page so authors can talk to reviewers in place, saving 375+ person-days of effort a year.