Worked on the kubernetes/autoscaler repository to add Intel Habana Gaudi GPU support, enabling the autoscaler to detect and scale clusters with mixed GPU environments including NVIDIA, AMD, DirectX, and Habana Gaudi. Used Go and Kubernetes expertise to introduce a new habana.ai/gaudi GPU resource, expand the recognized GPU vendor list, and refactor detection logic for multi-type GPU support. Developed a reusable NodeHasGpuAllocatable helper to centralize and simplify GPU detection, reducing code duplication and improving maintainability. These changes enhanced autoscaling for machine learning workloads and cloud resource utilization, with no major user-reported bugs following the refactor and feature delivery.