Test Automation Architect with 18+ years building enterprise-grade automation frameworks (Selenium, Playwright, C#.NET, TypeScript) across UI, API, database, and E2E. Designed a skills-based AI automation framework fusing classical test automation with RAG, MCP, and Vector DBs. Built 8+ AI platforms and agentic QA systems — from RAG pipelines to multi-agent test copilots.
I lead quality engineering across both service-based and product-basedorganisations, architecting test automation and AI-augmented quality programs that scale with the business. I've taken teams from no automation to 100% automation adoption — building the frameworks, CI/CD pipelines, and engineering culture to make it stick.
Today I drive AI in Quality Engineering — LLM-driven test generation, RAG pipelines, multi-agent orchestration, and vector databases that turn QA from a bottleneck into an accelerator. From Selenium to Playwright, from C# to TypeScript to Python, I ship frameworks teams actually want to use — and mentor the engineers who run them.
AI-augmented QA platforms, RAG pipelines, agent systems, and production-grade test frameworks — all built in the last year.
End-to-end agentic QA platform: 6 specialist agents (RI → MT → AS → EX → DO → IQ) turn a requirement into analysis, editable coverage, Playwright automation, Docker-executed evidence, and release-confidence intelligence. Connects Jira, Confluence, Figma, GitHub, Zephyr, TestRail, and ships a real MCP server.
Unified platform: resume-job matcher (LLM-scored), QA interview prep RAG chat, test case generator from PRDs, AI learning tutor, document Q&A.
RAG-powered interview prep: PDF/DOCX knowledge base indexed into Pinecone, streaming QA assistant with grounded citations, and topic-organized Q&A browser.
Upload documents, ask AI-powered questions with grounded citations. Supports PDF/DOCX/TXT/MD, smart chunking, configurable embeddings, Pinecone vector search.
Transparent 3-panel RAG pipeline visualizer. Ingest PDFs/DOCX, watch chunking → embedding → ChromaDB storage → vector search → LLM answer via SSE.
Multi-agent LangGraph system: PRD → test case generation, bug → regression selection, framework migration (Selenium → Playwright), Docker-sandboxed test execution.
Full-stack RAG pipeline for QA job seekers. Upload resume → AI profile extraction → multi-source job search → eligibility filtering → LLM-ranked matches.
Enterprise-grade Playwright framework with strict 8-layer architecture — POM, modules, fixtures, API layer, custom reporting, Docker, and sharding.
AI-powered self-healing test framework using GPT-4 to detect and fix broken locators automatically when UI changes.
Multi-agent system orchestrating specialized AI agents for test case generation and automation code production from requirements.
Enterprise-grade automation meets modern AI — across the full testing stack.
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 — taking teams from no automation to full AI-powered quality engineering.
Open to Lead / Architect roles in AI-powered QA and Test Automation.
Let's talk about your quality roadmap — reach out below.
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