Senior Quality Engineering Leader with 15+ years of experience building and scaling QA, SDET, and AI-driven testing organizations across Technology, Aviation, Retail, and Financial Services. I help engineering leaders and teams modernize quality practices by embedding AI and Agentic workflows directly into the testing lifecycle — not just talking about AI, but shipping it. My core focus today is Enterprise AI: I architect full-stack AI applications and AI-powered automation solutions using LangChain, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Vector Databases (ChromaDB), and DeepEval, working across OpenAI, Anthropic Claude, and Google Gemini/Vertex AI. I use GenAI to accelerate test case generation, automate requirements-to-test conversion, enable self-healing automation, and build predictive defect and risk-scoring models — turning traditional QA into an intelligence-driven function. On the traditional automation side, I bring 12+ years of hands-on depth across Selenium, Cypress, Playwright, Appium, Puppeteer, and Katalon, with strong programming fundamentals in Python, Java, and JavaScript, plus CI/CD and cloud experience across Jenkins, GitLab, Docker, Terraform, and AWS. As a people leader, I've built and scaled QA/SDET teams of up to 45 members, served as an active hiring manager since 2013, and led Quality Engineering transformations that delivered 20–80% reductions in regression effort, defect escape rates, and release cycle times — plus tens of thousands of dollars in measurable cost savings through automation and vendor optimization. If you're looking to talk about AI-augmented QA strategy, building agentic testing systems, standing up an SDET function, LLM evaluation pipelines, or leading quality transformation at scale — I'd love to connect.