Designs and manages scalable AI infrastructure across on-prem, cloud, and hybrid environments: sizing CPU/GPU/storage, running NVIDIA CUDA/TensorRT stacks on Linux, Docker and Kubernetes, monitoring and troubleshooting platforms, and optimizing model training and inference performance alongside AI/ML teams.