Mohua Gope

Automation Test Engineer with over 3 years of experience in designing, developing, and maintaining scalable test automation frameworks using tools like Selenium, TestNG, and Cucumber (BDD). Proficient in Java, and experienced in API testing using REST Assured and Postman. Adept at integrating AI-driven solutions into testing workflows, including intelligent test case generation, predictive defect analysis, and leveraging machine learning models (e.g., NLP-based sentiment analysis) to enhance test efficiency and coverage. Strong understanding of SDLC, STLC, and Agile methodologies, with a focus on delivering high-quality software through continuous testing and CI/CD pipelines. A quick learner with a passion for adopting emerging technologies to improve automation effectiveness and product quality.

• Carnival Cruise Lines, Test Automation Engineer, 03/23, Present, implemented end-to-end web and API automation using AccelQ and ReadyAPI, covering functional, regression, and integration test scenarios, integrated automated test suites with CI/CD pipelines, enabling continuous testing on every build and improving release reliability, managed test assets and version control using Git, including branch management, merges, and collaboration with DevOps teams, actively collaborated with cross-functional teams to align automation strategy with continuous integration and delivery best practices.
• Cross-Platform Hybrid Automation Framework, designed and implemented a hybrid test automation framework combining data-driven, keyword-driven, and modular approaches for web and mobile applications, automated web (Selenium) and mobile (Appium) test scenarios using Java, enabling cross-platform test execution, integrated API automation and CI/CD pipelines to support continuous testing and faster feedback cycles, managed framework versioning and test execution workflows using Git, improving collaboration and maintainability.
• AI-driven test case generation, designed and implemented an AI-powered solution to automatically convert manual test cases into structured BDD (Gherkin) scenarios using natural language processing (NLP) techniques, developed a scalable pipeline to process input files (Excel/CSV) and intelligently map test steps into Given-When-Then format for automation readiness, integrated the generated test cases with Selenium, TestNG, and Cucumber frameworks to enable seamless execution and reduce manual effort, built a user-friendly interface for uploading test cases and generating automation-ready outputs, improving efficiency, consistency, and overall test coverage.