Designed and executed end-to-end testing strategy for a major AI-powered super-application. Developed comprehensive test scenarios covering AI model behaviors, edge cases, user flows, and system integrations. Created process validation frameworks to ensure AI responses met quality thresholds.
Key technical challenges encountered and how they were overcome.
Built statistical validation methods instead of exact match assertions
Created modular test scenarios with data-driven approach for 500+ cases
Unified testing framework across Web, iOS, and Android platforms
Visual tour of the project interface and key features.
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