Tarun Kumar Babbar — AI QA Architect

Tarun Kumar Babbar
Tarun Kumar Babbar
🏆1st Place · AI Tester Blueprint 3x Hackathon · The Testing Academy

Tarun Kumar Babbar

AI QA Architect · Test Automation Architect

18+ years across QA engineering — building AI-powered QA platforms, multi-agent orchestration frameworks, and enterprise Playwright + TypeScript automation. 1st place at the AI Tester Blueprint 3x hackathon with an agentic QA pipeline that turns a requirement into release-ready confidence.

18+
Years in QA Engineering
10+
AI Apps & Agents Built
1st
AI Tester Blueprint 3x Hackathon
100%
Automation Adoption at Scale
About

Architect of Quality. Builder of AI Systems.

I'm an AI QA Architect and Test Automation Engineer with 18+ years of experience — currently designing AI-driven quality engineering at Coforge Limited for client Xplor Technologies, Pune. I build multi-agent pipelines where AI writes requirements, converts them into test cases — auto-detecting duplicate or near-identical scenarios before they multiply — evaluates every output with DeepEval, and makes model-driven decisions through agentic prompting — before driving the automation itself.

From service-based orgs to product companies, I've taken teams from no automation to 100% automation adoption. Today I combine enterprise Playwright + TypeScript frameworks with agentic AI — turning QA from a bottleneck into an accelerator. My focus now is organisation-wide impact: one scalable, maintainable AI platform that multiple teams onboard to, delivering consistent quality outputs across the enterprise.

1st place at The Testing Academy's AI Tester Blueprint 3x hackathon (60+ participants) for QAE2E, an agentic QA pipeline that ships requirements to release-confidence — evaluated and refined end-to-end by an AI judge.

AI-Powered QA Platforms
Multi-Agent Orchestration
DeepEval-Driven Output Validation
Auto Duplicate Scenario Detection
Playwright + TypeScript Frameworks
Figma → Requirements → Test Cases
TFS / Azure DevOps Integration
RAG & Vector DBs (ChromaDB, Pinecone)
LLM Evaluation & Guardrails
Enterprise CI/CD & YAML Pipelines
0 → 100% Automation Adoption
Framework Architecture & Mentorship
MCP Protocol for Tool Integration
AI Applications

AI Apps You Can Run Today

Live applications I designed and built end-to-end. No code walls here — every card opens a working demo, its source on GitHub, or both. Explore what 18 years of QA thinking plus agentic AI can ship.

Explore all repos on GitHub
🏆 1st Place — AI Tester Blueprint 3x

🤖 QAE2E — AI-Powered QA Pipeline

An agentic QA pipeline — requirement to release confidence, every step judged by an AI agent team.

RequirementTest CasesPlaywright CodeExecutionRelease Confidence
Next.jsOpenRouterAgent OrchestrationPineconeMCPDocker
💼

QA Jobs Portal

Live

Free daily India QA jobs portal — AI-extracted QA listings from multiple sources, curated and refreshed every day for QA engineers.

Next.jsPostgreSQLPrismaOpenRouterAI Extraction
📊

QA AI Dashboard

Live

Unified AI platform — LLM-scored resume-job matcher, QA interview RAG chat, PRD test-case generator, AI tutor and document Q&A.

Next.jsPostgreSQLPrismaPineconeOpenRouter
📚

QA RAG Platform

Live

Upload documents and ask AI questions with grounded citations — smart chunking, configurable embeddings and Pinecone vector search.

Next.jsOpenRouterPineconeVector Search
🎯

QA Interview Prep Kit

Live

RAG-powered interview preparation — PDF/DOCX knowledge base indexed into Pinecone with a streaming QA assistant and grounded citations.

Next.jsOpenRouterPineconeRAG
🛰

Jira QA Crew

Live

QA pipeline driven by a crew of AI agents — connects to Jira stories and walks through analysis, test generation and execution workflows.

Next.jsAgent CrewTypeScriptAI Pipeline
📄

Resume → Job RAG Pipeline

Full-stack RAG pipeline: upload resume → AI profile extraction → multi-source job search → eligibility filter → LLM-ranked matches.

ReactExpressChromaDBOpenRouter
🔍

Chroma RAG Pipeline Visualizer

RAG visualizer with a live 3-panel UI — ingest PDFs/DOCX, embed via OpenRouter, vector search, and see the LLM answer with real-time progress.

ReactExpressChromaDBSSE
🎭

8-Layer Playwright Framework

Framework

Enterprise-grade Playwright framework with strict 8-layer architecture — POM, fixtures, API layer, reporting, Docker and CI-ready.

PlaywrightTypeScriptDockerCI/CD
🩹

Self-Healing Playwright

Framework

AI-powered self-healing test framework that detects broken locators and repairs them automatically when the UI changes.

PlaywrightGPT-4OpenAITypeScript

Plus 20+ more repositories — Selenium & Appium suites, API automation, C#/.NET frameworks and agent experiments. Explore everything on GitHub →

Expertise

Skills & Technologies

Enterprise-grade automation meets modern AI — agent orchestration, evaluated LLM output, and full-stack testing.

🤖 AI & Agentic QA

Multi-Agent OrchestrationDeepEval (AI Output Evaluation)LLM-as-a-JudgeRAG PipelinesPrompt EngineeringLangGraphCrewAIMCP ProtocolSelf-Healing TestsAI ObservabilityModel Routing

🧪 Test Automation

PlaywrightTypeScriptSelenium WebDriverBDD / SpecFlow / CucumberPytestCypressAppiumREST AssuredPostmanNUnit / TestNG / JUnitk6 / JMeter

🔧 Platforms & Workflow

Azure DevOpsTFSYAML Pipelines (CI/CD)Blazor App TestingGitHub ActionsJenkinsDockerKubernetesGitFigma-to-Code Workflows

💻 Languages

TypeScriptC# .NETPythonJavaScriptJavaSQL

🗄 Vector DBs & Data

ChromaDBPineconepgvectorPostgreSQLSQLiteNeonETL Testing

🏗 Frameworks & Architecture

Page Object ModelSOLID Principles8-Layer Framework ArchitectureMicroservicesNext.jsFastAPIExpressREST APIs & Token Auth
Career

Professional Path

From quality engineering to AI-augmented test architecture — building systems that ship quality at scale.

Aug 2026 — PresentCurrent

Solutions Architect

Coforge Limited (Viman Nagar, Pune) · currently at client location Xplor Technologies, Kharadi, Pune
  • Built a Playwright + TypeScript UI test automation framework for a Blazor-based application — with Azure DevOps, TFS, and YAML pipelines for CI.
  • Building a Multi-Agent Orchestration Framework that generates requirements from Figma designs, converts them into test cases, and publishes them to TFS through REST APIs using token auth.
  • Every AI-generated output is evaluated against quality metrics with DeepEval — with auto-duplicate scenario/test detection to stop similar scenarios from multiplying.
  • Generating automation code that follows the framework structure on Azure DevOps, with the full UI automation pipeline in place.
  • Working on reading user stories and converting them into test cases — identifying which existing tests belong to each story by reading the test-case repository.
  • Triggering automation runs automatically based on the scenarios under test, and presenting reports built with Cursor.
Jul 2025 — Jul 2026

Career Transition — AI + Test Automation R&D

Self-Directed Learning, Pune
  • Deep-dived into LLMs, RAG, MCP, AI agents and orchestration tools while strengthening LangChain, Playwright and TypeScript.
  • Shipped 10+ AI applications — RAG pipelines, agentic QA copilots and the QAE2E pipeline that took 1st place at The Testing Academy's AI Tester Blueprint 3x hackathon.
  • Core focus: test architecture & strategy, CI/CD and DevOps, and AI-native quality engineering.
Jan 2018 — Jun 2025

Lead Software Engineer in Test | Test Automation Architect

Coupa Software, Pune
  • Architected full-stack automation suite (UI, API, DB, E2E) — transitioned 100% manual regression to 100% automated across 3+ product lines.
  • Delivered 100+ major UI automation cases in 9 months using C#.NET + Selenium, reducing manual regression by ~70%.
  • Built 50+ integration and 50+ API/database validation cases in 4 months, cutting production defects by ~40%.
  • Architected environment-agnostic CI/CD with Azure Pipelines + GitHub Actions, reducing deployment time by 30%.
  • Led, coached, and mentored 6 QA engineers — improved script maintainability by 30%, reduced script defects by 20%.
Aug 2016 — Dec 2017

SW QA Engineer IV

Varian Medical Systems, Pune
  • Designed Selenium UI automation + VSTS performance frameworks, reducing regression time by 30%.
  • Built WPF, MVC, and JavaScript integration testing utilities, saving ~4 hours/week across the QA team.
  • Spearheaded cross-team API automation strategy, reducing manual API testing by 50%.
  • Championed SOLID principles and coding standards across 2 engineering teams.
Aug 2010 — Aug 2016

Assistant Consultant

Tata Consultancy Services, Pune
  • Architected enterprise test automation frameworks (C#.NET, Selenium, SpecFlow, Coded UI) — cut manual testing by 50%, boosted coverage by 20%.
  • Migrated legacy KAF to Selenium with the Abstract Factory pattern — 40% faster test execution.
  • Owned CI/CD pipeline architecture and BDD strategy across 3+ development teams.
  • Reduced onboarding time by 30% through structured training for 10+ new hires.
Feb 2007 — Jul 2010

Senior Systems Engineer

Infosys Technologies, Pune
  • Validated 50% of critical Windows OS components across 2 dev teams, reducing critical bugs by 10% pre-release.
  • Automated 30+ manual workflows, reducing processing time by 40%.
  • Identified 50+ defects, validated 20+ Design Change Requests, reduced resolution time by 40%.
Education

Where It Started

🎓

Bachelor of Engineering, Computer Science

Modi Institute of Technology, Kota

Connect

Let's Build Something

I help organisations make quality an accelerator — from zero automation to AI-powered quality engineering.
Open to Architect / Principal SDET / Senior Principal SDET / QA Head roles — building one scalable, maintainable AI solution that serves multiple teams, onboarding them onto a shared QA AI Platform that delivers consistent, quality outputs org-wide.
Explore my apps on GitHub or reach out below — let's talk about your quality roadmap.

Explore 20+ repos of AI apps, frameworks and experiments on GitHub — or send a quick WhatsApp 👋