Ramya Manjuanth

Orchestrated the development and integration of an advanced ultrasonic sensor model with Carla’s LiDAR module for automotive parking simulations, significantly enhancing simulation accuracy and realism. Utilized Open3D libraries for high-resolution point cloud visualization, enabling in-depth analysis of ultrasonic data. Optimized signal processing algorithms for precise data representation and conducted benchmarking against real-world data, identifying and mitigating key simulation limitations.

Collaborated on Scrum projects, driving design and integration of scalable software architectures for automotive stakeholders. Analyzed requirements and developed algorithm flowcharts for camera, radar systems, and driving functions. Led global scheduler integration using CMake, streamlining workflows. Proficient in hardware debugging with Lauterbach Trace32 on Renesas and ARM-A53. Developed test cases and ensured ASPICE and ISO 26262 compliance, delivering high-quality results.

Conducted requirements analysis for System Adaptation Layer (SAL) features in Fiat-Chrysler vehicles. Led design and implementation of enhancements for diagnostics, DTV, and camera systems. Expert in communication protocols such as CAN, SPI, LIN, I2C, UART, and RS-232 for seamless data exchange. Developed HMI modules using Qt Framework for Ford vehicles, improving user experience. Proficient in Real-Time Operating Systems (RTOS) like QNX, ensuring system reliability and performance.

Embedded Systems Engineering