Urvish Gajjar is a Senior Test Manager specializing in Artificial Intelligence (AI), Software Quality Assurance, Test Management, and Release Management. He has over 14 years of industry experience leading QA transformation initiatives across Fortune 500 organizations in the insurance, finance, e-commerce, education, and GIS sectors. His expertise includes AI-powered software testing, mobile and web application testing, test automation, CI/CD, Agile methodologies, API testing, and quality engineering. Urvish currently works in the United States, where he leads enterprise QA strategy, AI implementation, and cross-functional quality initiatives for large-scale digital products. He holds master's degrees in Information Technology Management and Engineering. Urvish has authored numerous research papers in software engineering, AI, and software testing, and actively contributes to the research community as an IEEE and Springer peer reviewer, conference session chair, and invited speaker. His research interests include AI-driven software testing, autonomous testing agents, mobile application quality engineering, and intelligent software quality assurance frameworks.
