🤖 QAE2E — AI-Powered QA Pipeline
An agentic QA pipeline — requirement to release confidence, every step judged by an AI agent team.

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.
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.
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.
An agentic QA pipeline — requirement to release confidence, every step judged by an AI agent team.
Free daily India QA jobs portal — AI-extracted QA listings from multiple sources, curated and refreshed every day for QA engineers.
Unified AI platform — LLM-scored resume-job matcher, QA interview RAG chat, PRD test-case generator, AI tutor and document Q&A.
Upload documents and ask AI questions with grounded citations — smart chunking, configurable embeddings and Pinecone vector search.
RAG-powered interview preparation — PDF/DOCX knowledge base indexed into Pinecone with a streaming QA assistant and grounded citations.
QA pipeline driven by a crew of AI agents — connects to Jira stories and walks through analysis, test generation and execution workflows.
Full-stack RAG pipeline: upload resume → AI profile extraction → multi-source job search → eligibility filter → LLM-ranked matches.
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.
Enterprise-grade Playwright framework with strict 8-layer architecture — POM, fixtures, API layer, reporting, Docker and CI-ready.
AI-powered self-healing test framework that detects broken locators and repairs them automatically when the UI changes.
Plus 20+ more repositories — Selenium & Appium suites, API automation, C#/.NET frameworks and agent experiments. Explore everything on GitHub →
Enterprise-grade automation meets modern AI — agent orchestration, evaluated LLM output, and full-stack testing.
From quality engineering to AI-augmented test architecture — building systems that ship quality at scale.
Modi Institute of Technology, Kota
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 👋