Valerian Roche developed a memory-efficient transformer for the DeltaFIFO and Reflector components in the kubernetes/kubernetes repository, focusing on optimizing memory usage during periods of high object churn. By introducing new interfaces and methods, Valerian enabled object transformation within the cache pipeline, reducing memory bursts and improving cache refresh performance. The transformer was integrated from the provided store into internal stores within Reflector, directly addressing scalability and stability challenges in the Kubernetes client cache layer. This work, implemented in Go and leveraging backend development and Kubernetes expertise, laid the foundation for further memory optimizations and enhanced the efficiency of client-side caching.