Ic
CurrentDeveloped and optimized CUDA kernels for high-performance image processing tasks, including Fixed Pattern Noise (FPN) reduction, neighboring averaging, and Photo Response Non-Uniformity (PRNU) correction.Implemented efficient memory management strategies, including asynchronous memory transfers and stream usage, to maximize GPU utilization and minimize latency.Integrated CUDA with C++ to create robust image processing pipelines, leveraging libraries such as OpenCV and custom CUDA kernels for real-time applications.Utilized profiling tools like NVIDIA Nsight Compute and Nsight Systems to identify bottlenecks and optimize kernel performance, achieving significant speedups in image processing workflows.Collaborated with cross-functional teams to design and implement scalable solutions for complex image processing challenges, ensuring high-quality and efficient results.