kashyap addanki

Led system integration for ADAS/robotic pipelines (LiDAR, Radar, camera, vehicle controllers), validating end-to-end performance. Designed Python tooling for DDS message extraction/validation and created a comprehensive diagnostic framework to ensure pre-operation readiness. Executed low-level bring-up for NVIDIA AGX Thor, handling peripheral initialization, boot verification, and embedded Linux debugging

Led end-to-end systems integration for EV platforms, focusing on telematics controller units to ensure seamless data connectivity, diagnostics, and data exchange. Directed technical efforts for requirement gathering, solution architecture, and bringing up prototype HIL benches and vehicle platforms for cross-functional teams. Implemented procedures for End-Of-Line (EOL) testing and ECU software flashing across multiple platforms. Led component flashing processes to ensure platform readiness and integration.

Led AV systems integration, directing cabin monitoring pipelines and fleet-wide OTA deployments via connectivity controllers. Architected monitoring paths for AV stack health, HPC hardware, and MRM command triggering. Defined body control module requirements in Polarion. Directed first article flashing and CAN network configurations in CANoe. Developed Python and CAPL automation scripts for data analysis and fault-injection. Partnered cross-functional teams to ensure feature stability and roadmap readiness.

Led autonomous vehicle systems integration, directing technical development, troubleshooting, and software acceptance checks for different ECUs across multiple vehicle platforms. Served as a Subject Matter Expert for deep debugging and root cause analysis across a wider range of complex systems and sub-system integration pipelines. Authored comprehensive system integration test plans, including DVP&R, while successfully integrating test software into Continuous Integration and Continuous Delivery pipelines.

Led 21MY connected services requirements development, covering user profiles, virtual assistant, navigation,V2C integration, and BCM functionality.Performed comprehensive requirements analysis, integration,and verification across multiple ECUs to support system readiness. Conducted design reviews, executed FMEAs for embedded risk mitigation, and delivered technical customer presentations. Designed proof-of-concept integration and validation for multi-display cockpit systems spanning multi-seat infotainment.

Designed and developed a lane-following autonomous vehicle utilizing a Raspberry Pi and Arduino Uno. Integrated camera-based lane detection algorithms and precise motor speed control to enable accurate path tracking and autonomous navigation guidance. Implemented and validated robust client-server handshaking mechanisms, confirming highly effective, seamless communication performance and data exchange across all the networked systems.Streamlined system-level testing to ensure hardware-software integrations.