Surbhi S.

As a Senior Lead Engineer with 15 years of experience in Automation, Performance QA, and enterprise software quality, I specialize in testing AI-powered, SaaS, web, mobile, and financial platforms for reliability, accuracy, scalability, and user experience. I have built and led high-performing QA teams, designed scalable automation frameworks using Selenium, Playwright, Cypress, and API testing tools, and implemented shift-left QA strategies that reduced defect leakage to under 5%. My expertise now extends into AI product quality, including AI chatbot testing, prompt validation, AI output evaluation, hallucination checks, transcription workflow testing, generated-content validation, API testing, regression testing, and end-to-end validation of AI-enabled user flows. I focus on testing not only whether the software works, but whether the AI behavior is accurate, consistent, explainable, and useful for real users. I bring strong experience in functional, API, integration, performance, and regression testing, along with CI/CD pipeline integration and structured defect reporting. If your AI product needs a QA professional who can combine traditional software testing discipline with AI-focused validation, I can help improve release confidence, reduce risk, and deliver a more reliable user experience. Let’s discuss how I can help elevate the quality of your AI-powered product.