THIRTHA PRASAD

QA Automation Lead and Test Architect with expertise in driving quality engineering initiatives and implementing scalable automation solutions. Proven experience in designing and executing end-to-end test automation strategies for Web and Mobile platforms at Centific. Proficient in developing robust automation frameworks using Cypress, JavaScript, WebdriverIO, and Appium, alongside Python for automation utilities. Strong background in test architecture, CI/CD integration, and mentoring QA teams to enhance software quality and accelerate release cycles.

• Automation Framework Architecture and Implementation: Designed and implemented scalable, modular automation frameworks using Cypress, JavaScript, Appium, WebdriverIO, and Robot Framework to support end-to-end functional, UI/UX, API, and GraphQL testing across web and mobile platforms
• Test Leadership and Strategy Development: Led cross-functional QA teams (up to 22 engineers) in defining test strategies, automation roadmaps, and quality engineering practices, ensuring high test coverage, maintainability, and alignment with business goals
• CI/CD Integration and DevOps Collaboration: Integrated automated test suites into CI/CD pipelines using Jenkins, CircleCI, and Git, enabling continuous validation and early defect detection in agile delivery cycles
• Agile QA Process and Delivery Management: Actively participated in Agile ceremonies, including sprint planning, retrospectives, and backlog grooming. Used JIRA, Confluence, and TestRail for test management, documentation, and defect tracking
• Test Reporting and Observability: Developed real-time quality dashboards using Sumo Logic, Allure Reports, and custom HTML dashboards to provide actionable insights into test execution trends, failure patterns, and release readiness
• Defect Triage & Root Cause Analysis: Conducted in-depth debugging and log analysis of test failures, collaborated with developers to isolate root causes, and drove resolution within sprint timelines
• Test Automation for Continuous Quality: Delivered robust test suites with data-driven, modular, and reusable test scripts to ensure regression, integration, and system-level testing, significantly reducing manual test efforts, and accelerating release cycles
• Stakeholder Communication and Quality Governance: Provided regular test status updates, release sign-offs, and quality metrics to product owners, architects, and engineering managers, ensuring transparency and alignment across the SDLC

• Python for DataScience and Machine Learning Bootcamp (Udemy)