Ankan Banerjee developed the initial TensorRT-based Execution Provider for RTX GPUs within the ROCm/onnxruntime repository, focusing on accelerating machine learning inference and improving usability on NVIDIA hardware. Leveraging C++ and CUDA, Ankan integrated TensorRT to establish a GPU-accelerated execution path in ONNX Runtime, laying the groundwork for future optimizations and broader hardware support. The work concentrated on feature development and integration rather than bug fixes, demonstrating a disciplined approach to code quality and collaboration. This contribution enhanced performance and expanded deployment options, providing a solid technical foundation for subsequent releases and advancing the product’s machine learning capabilities.