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Engineering AI Agents Systems

Building intelligent systems that scale.

Senior Software Engineer, AI Systems Architect, Author and Technical Speaker. Exploring enterprise engineering, autonomous AI agents, developer productivity and reliable software systems.

Portrait of Deepak Kamboj

Impact at a glance

  • 25+

    Years of software engineering, since 2001
  • 14,000+

    Playwright tests across the Power Platform ecosystem
  • 47

    Engineering teams supported with test infrastructure
  • 1

    Published book. A second book from Packt arrives November 2026.

Figures are reported by the author. Experience is calculated from a July 2001 start.

Selected work

Engineering projects

AI agents and testing tools I have built, with the problem each one solves.

All projects

Test Automation

NL2Test - AI-Assisted Testing

Transform natural language descriptions into executable Playwright web integration tests with AI-powered test automation.
  • Playwright
  • OpenAI GPT-4
  • TypeScript
  • Node.js

AI and Agents

AI-Powered Travel Platform

Comprehensive travel platform using AI agents for vehicle rentals, itinerary planning, and personalized travel recommendations.
  • Vercel AI SDK
  • Next.js
  • AI Agents
  • TypeScript

How I build

NL2Test, from a sentence to a Playwright test

How NL2Test turns a plain-language description into an executable Playwright test, with a model planning the test and an MCP server driving a real page.

All workflows

10 stepsPress play, or use next and previous to follow the flow one step at a time.

Read all 10 steps

AI and Agents

How an MCP request flows

A walk through one Model Context Protocol request, from the client through authentication, memory and the model to a server that coordinates tools.

8 steps 8 parts Simplified view

AI and Agents

Multi-agent supervisor

A supervisor agent receives a request, hands sub-tasks to specialist agents one at a time, keeps shared memory, and combines their results into one answer.

8 steps 7 parts Simplified view

AI and Agents

RAG pipeline

How retrieval-augmented generation works end to end, from loading documents into a vector store to answering a question with the closest passages.

8 steps 7 parts Simplified view

Technical writing

Latest articles

Guides and field notes on AI agents, MCP, Playwright and developer tooling.

All writing

AI and Machine Learning

AI Agents: From Chatbots to Autonomous Digital Workers

What changes when AI moves from answering questions to completing business workflows, and how to assess the benefits, risks and oversight it needs.

9 min read
  • AI
  • Agents
  • Enterprise AI

Books & publications

Written for builders

Books I have authored or technically reviewed on AI, the Model Context Protocol and test automation.

All books
Cover of LangChain in Action by Deepak Kamboj

Published

Author

LangChain in Action

Architecting multi-modal and context-aware agents

Build production-ready AI agents with LangChain, multimodal reasoning, persistent memory, RAG, autonomous workflows, and multi-agent collaboration.

BPB Publications

Coming November 2026

Author

Hands-On MCP Server using C# and .NET

A practical guide to the Model Context Protocol on the .NET platform

A hands-on guide to building Model Context Protocol (MCP) servers with C# and .NET, published by Packt.

Packt

Early Access cover of Hands-On Automated Testing with Playwright by Faraz K. Kelhini and Butch Mayhew, published by Packt

Early Access

Technical Reviewer

Hands-On Automated Testing with Playwright

Create fast, reliable, and scalable tests for modern web apps with Microsoft's automation framework

A practical Playwright book by Faraz K. Kelhini and Butch Mayhew. Deepak Kamboj contributed as a technical reviewer, not as an author.

Packt

Speaking

Talks & workshops

Conferences, community workshops and podcasts on AI and test automation.

All events

Community & recognition

Giving back

Hackathon judging, mentoring and open-source work.

Community
AI Defense Lab 2026 final judges poster featuring Deepak Kamboj and fellow judgesCompleted

Final Judge & Expert Panelist

AI Defense Lab 2026

Seattle Data AI & Security

  • September 24–26, 2026
  • Online
Secure AI Hackathon 2026 judges from the Seattle Data, AI and Security CommunityCompleted

Judge & Mentor

Secure AI Hackathon 2026

Seattle Data, AI & Security Community

  • July 30, 2026 – August 2, 2026
  • Online

Open source

Public repositories and developer tools.