💼 Lead QA Engineer & Test Automation Architect with 14+ years in Software Quality Assurance, 8+ years leading QA teams of 12–15 engineers across healthcare, fintech, automotive, and enterprise SaaS.
🤖 I build AI-powered QA tooling — from an AI Test Case Generator (Jira + Claude + Anthropic API) to autonomous QA agents in n8n — cutting manual test effort by 70–80%.
🔭 Currently building hands-on expertise in AI evaluation frameworks, RAG evaluation, and Agentic AI testing.
🎓 ISTQB Certified | Scrum Fundamentals | Postman Student Expert
💬 Ask me about: Playwright automation, GenAI & AI chatbot testing, hallucination detection, framework architecture, and QA leadership at scale.
|
An advanced RAG pipeline built in Langflow to retrieve from a repository of 5,000+ test cases — combining HyDE query generation, semantic search (ChromaDB + Mistral embeddings), NVIDIA reranking, parent-document retrieval for full test-case context, and contextual compression before generating grounded answers with Groq.
|
A Retrieval-Augmented Generation assistant built in Langflow that searches an e-commerce test-case repository and returns grounded, natural-language answers — using ChromaDB for vector storage, Mistral embeddings, and Groq's Llama 3.1 8B for generation. Includes a dedicated test suite covering positive retrieval, hallucination prevention, and prompt-injection resistance.
|
|
Production-ready n8n AI agent that reviews Jira stories for QA refinement readiness — fetches ticket details, generates a structured 14-section QA report (readiness score, gaps, test scenarios, clarification questions), and posts it straight to Slack. Includes a Promptfoo evaluation suite for regression-testing the agent's scoring consistency.
|
A deployed React frontend (Vite, hosted on Vercel) for a document-upload-and-chat interface powered by an n8n RAG pipeline — built as a public, end-to-end portfolio piece demonstrating real deployment work (env var config, iframe integration, production build troubleshooting).
|
|
A two-phase Retrieval-Augmented Generation system built in n8n — document ingestion (chunking, embedding, vector storage) and a conversational retrieval agent with chat memory, powered by Groq's Llama 3.1 8B and Pinecone.
|
A multi-agent n8n workflow that classifies IT support tickets, auto-drafts responses for low-risk requests, and routes uncertain or high-impact tickets to a human via Slack for approval — with full observability logging to Google Sheets.
|
|
Pulls requirements from Jira and uses the Anthropic API to auto-generate structured test cases — reduces manual test design effort by 70–80%.
|
STLC and test-automation agent workflows built on n8n with Groq/LLM integration.
|
|
End-to-end UI automation framework using Page Object Model — reduces testing cycles by ~70%.
|
E-commerce UI automation suite covering login, cart, and checkout flows.
|
💡 Tip: add a one-line description to each of these repos on GitHub (Settings → repo → About) so it shows up if you ever add pin cards back in.
|
|
-2EAD33?style=for-the-badge&logo=playwright&logoColor=white){kind=icon}
-43B02A?style=for-the-badge&logo=selenium&logoColor=white){kind=icon}
|
|
|
📦 11 Repositories |
⭐ 7 Stars Earned |
🍴 3 Forks |
👥 9 Followers |
📅 7+ Years Active |
Open to remote QA Lead / SDET roles — always happy to talk AI-augmented testing, automation architecture, or QA leadership.
⭐ From nancybhardwaj89 with ❤️