AI-Driven Automotive Testing Strategy Platform

A professional-grade AI-driven automotive testing strategy platform designed for Principal Software Engineer roles in intelligent vehicle systems. This platform demonstrates end-to-end testing leadership for AI-driven automotive environments, featuring: real-time HIL test execution with dSPACE integration; comprehensive test coverage analysis across camera systems, ADAS features, AI models, data pipelines, CAN networks, and ECU diagnostics; AI model validation with performance metrics (mAP, IoU, inference time, FPS); automated test script generation for CAPL, Python, and JavaScript; industry-standard tool integration (dSPACE, CANoe, CANape, DIVA, Open Test); defect tracking and analytics with severity management; team performance monitoring with ISTQB/IREB certification tracking; test execution trending and compliance reporting; and export capabilities for PDF, Excel, and ISO 26262 compliance reports. The platform showcases expertise in automotive software validation, AI model testing, cross-functional collaboration, and continuous improvement through data-driven analytics.