Rahul Ganesh

• Ported and optimized computer vision based AI models as a part of In-cabin sensing project, contributing to end-to-end development including model integration, quantization, deployment on NVIDIA Jetson using ONNX and TensorRT frameworks, and C++ inference pipeline optimization to achieve real-time performance.
• Collaborated across teams to design, test, and integrate models into project pipelines, ensuring robustness, scalability, and maintainability of deployed software.
• Applied profiling-driven problem solving to identify and resolve performance bottlenecks at the software and hardware level.

• Quality Assurance Testing of Studio Project, handling video streams with 900+ participants
• Simulated Network conditions of 100+ test cases, Analyzed log files with Vim to identify streaming bottlenecks.