Results-driven Senior SDET with 11 years of experience architecting and maintaining scalable test automation frameworks and testing infrastructure for mobile and web applications. Proficient in testing methodologies, including functional, regression, performance and end-to-end. Proven ability to implement comprehensive testing strategies that enhance software quality across the SDLC.

• Empowered mobile feature teams to increase code coverage to 70% through leading the design and implementation of scalable automated test frameworks using XCUITest, and Compose Test.
• Pioneered end-to-end and integration test automation for mobile applications using XCUITest and Espresso, elevating overall functional code coverage from 0% to a robust 40%.
• Significantly reduced unit test execution time by 30% and achieved 90% test coverage for user account features by developing and executing automated suites using XCTest and JUnit.
• Reduced regression issues by 20% by building and maintaining robust mobile testing infrastructure (Appium, TestNG, Firebase Test Lab) that enabled comprehensive automated end-to-end, functional, and regression testing.
• Identified performance regressions in mobile applications by leveraging Xcode Instruments and Android Studio Profiler to analyze CPU, and memory, resulting in a 15% reduction in ANRs/crashes and ensuring a smoother user experience.

• Enabled web feature teams to boost code coverage to 80% through developing and implementing a scalable automation test framework using Cypress.
• Improved AI threat detection accuracy by 30% by driving the development of a specialized automation testing framework using Pytest.
• Verified the integrity and reliability of alert data pipelines by implementing automated validation frameworks using Pytest, leading to a 15% reduction in data-related production incidents.
• Ensured 99% uptime and increased deployment frequency by 25% through proactive maintenance of testing infrastructure and seamless integration of automation frameworks into AWS CodePipeline and AWS Device Farm.
• Streamlined root cause identification and resolution for errors and logs across staging and production environments using Sentry, proactively identifying and addressing critical test gaps.

• Achieved a 25% improvement in API response times by conducting targeted performance and load testing with Locust for critical REST and GraphQL endpoints, effectively identifying and resolving bottlenecks.
• Developed and executed data-driven API tests using Postman collections, verifying backend service reliability and performance, which reduced defects by 40%.