AI-Assisted QA Data Validation & Test Case Review
Worked on AI-assisted QA activities for enterprise telecom RCS/RBM platforms. I reviewed requirements, application flows, API payloads, test cases, and automation coverage to identify missing scenarios, validate expected outputs, and improve test quality. I used AI tools such as ChatGPT, Claude, and Cursor to generate, review, and refine test cases, compare application documentation with automation coverage, classify defects, and identify edge cases. My work involved structured validation, accuracy checking, issue categorization, feedback documentation, and improving the reliability of QA outputs.