Priyanka Agarwal

Developed and executed 100+ test cases in TestRail for the CP4K embedded platform, established traceability, and performed OTA firmware validation from CPNOS backend. Built automated test suites using Python pytest for OCPP 1.6 and conducted root cause analysis on embedded Linux systems.

Scaled and mentored a QA/V&V team from 3 to 7 engineers, defined V&V strategy and validation roadmaps across multiple programs, and architected Bench and HIL test environments. Designed a CAN-trace trip simulation tool that reduced regression cycle duration by 30% and directed validation of automotive protocols including CAN, CAN FD, Automotive Ethernet, DoIP, and UDS.

Owned pre-integration and system V&V strategy across 7+ concurrent automotive OEM programs, covering HMI, Instrument Cluster Display, Multimedia, Navigation, Bluetooth, Wi-Fi, Speech/Voice Recognition, Tuner, HVAC, and Rear View Camera. Drove Apple CarPlay ATS certification and Android Auto/Baidu CarLife integration, and validated in-vehicle networking and diagnostics protocols using Vector CANoe

Built GTest/GMock TDD unit and functional test framework for Ford Tuner Receiver domains, enabling early shift-left defect detection. Delivered Ford SYNC Gen3 Infotainment feature enhancements and defect fixes, achieving ASPICE Level 3 compliance through static analysis and peer code reviews ensuring 100% MISRA C adherence.

Bachelor of Technology in Information Technology, graduated in 2015.