· Reduced regression testing time by 60% by expanding Python/pytest automation framework with Page Object Model (POM) to cover 75% of critical user paths, integrated into GitLab CI/CD pipelines.
· Caught critical defects pre-release through exploratory testing of hardware-software integration points (Bluetooth/Wi-Fi) using Xcode and Android Studio, preventing customer-facing failures.
· Established QA metrics dashboards in Confluence and TestRail, providing leadership with real-time visibility into test coverage, defect trends, and release readiness across sprint cycles.
· Optimized the engineering workflow by leading 10-person triage syncs, utilizing Jira dashboards to provide visibility into high-priority blockers and accelerating resolution times by 35% through rigorous log analysis.
· Validated backend microservices and data flows using PostgreSQL queries, Postman, and cURL API tests, identifying high-priority data-sync issues before production deployment.
· Drove end-user focused testing for consumer-facing mobile apps using TestFlight (iOS) and Firebase (Android), evaluating usability and workflows to ensure seamless experiences across 50K+ active users.
· Improved GitLab CI/CD pipeline stability by 40% by diagnosing and resolving build failures on Linux servers, enabling consistent nightly automated test execution.
· Improved global testing consistency by mentoring offshore team members, resulting in a 25% increase in cross-regional script reliability.