Farid Hajizada contributed to the NVIDIA/gpu-operator repository by developing HPC Job Mapping Support for the DCGM Exporter, enabling GPU-to-job mapping in high-performance computing environments such as Slurm. He introduced a dedicated configuration option, established a default directory for mapping files, and automated the setup of volume mounts and environment variables, streamlining deployment and integration. In the NVIDIA/nvidia-container-toolkit repository, Farid addressed a compatibility issue with IPC socket mounting by aligning mount options with libnvidia-container, improving support for nested container runtimes. His work demonstrated proficiency in Go, Kubernetes, and containerization, delivering targeted solutions with a clear understanding of system programming requirements.