Madhuri Nagella

Result-oriented QA Manual and Automation Engineer with 4 years of professional experience specializing in the automated and manual verification and validation of complex Web and Mobile applications. Proven expertise in designing, implementing, and independently executing robust test automation solutions using Python, Selenium WebDriver, Playwright, and Pytest frameworks. Well-versed across the entire SDLC and STLC within Agile environments, with a strong track record of mitigating defect leakage, establishing continuous integration pipelines via Jenkins, and ensuring high-quality product deliverables.

QA Automation Engineer (Lead Engineer) - HCL Tech - Bengaluru, India

(2023-08)

Project: Fitbit Ecommerce application - GOOGLE

• Built and maintained robust test automation frameworks for an enterprise E-commerce web application using Python and Selenium WebDriver to validate cross-browser core flows (Login, Search, Cart).
• Engineered highly maintainable and reusable automation test scripts leveraging the Page Object Model (POM), drastically reducing long-term script maintenance overhead.
• Constructed advanced programmatic locators using optimized dynamic XPath and CSS Selectors to handle complex DOM structures natively.
• Configured and integrated automated test execution suites into Jenkins CI/CD pipelines, enabling automated regression triggers and instant quality feedback.
• Conducted end-to-end REST API testing utilizing Postman to rigorously validate endpoints, payloads, HTTP status responses, and JSON data matrices.
• Successfully identified, isolated, and documented over 100+ defects via Buganizer, tracking their life cycle to effectively reduce production bug leakage by 30%.

Software Test Engineer - HCL Tech - Bengaluru, India

(2022-09 - 2023-08)

Project: Fitbit Mobile Application - GOOGLE

• Analyzed complex technical specifications and business requirements to formulate comprehensive test plans, manual/automated test scenarios, and requirement traceability matrices (RTM) for iOS and Android mobile features.
• Executed rigorous functional, sanity, regression, and cross-platform mobile UI/UX test suites to verify end-to-end performance on physical target hardware.
• Validated end-to-end integration between the Gemini LLM and the Fitbit ecosystem, ensuring seamless data synchronization and accurate contextual responses based on user activity metrics.
• Managed end-to-end bug workflows and overall test planning tracking using corporate tools including TesTracker and Buganizer.

B.Tech - Electronics and Communication Engineering - Krishna Chaitanya Institute of Technology and Sciences, Markapur (2018-08 - 2022-07)