During a two-month period, Marc Ferrer Avila contributed to the NVIDIA/CUDALibrarySamples repository by developing and stabilizing distributed FFT planning samples for cuFFT MP. He implemented new demonstration samples that enable multi-GPU and multi-rank FFT workloads, showcasing both automatic and custom data distribution strategies using C++ and CUDA. Marc also addressed codebase integrity by reverting unintended changes and fixing MPI communicator attachment in the reshape workflow. His work combined high-performance computing, distributed systems, and MPI to deliver practical, production-ready examples for distributed FFT planning, reflecting a focused approach to both feature development and maintenance within a complex codebase.