Worked on the bitnami/charts repository to enhance the MLflow Helm chart by introducing resource requests and limits for init containers. This update, implemented using YAML and Helm, focused on improving resource management and initialization reliability for MLflow deployments within Kubernetes clusters. By centralizing resource specifications in the chart values, the change enabled more predictable resource allocation, supporting better capacity planning and cost control. The work demonstrated practical DevOps skills, including Kubernetes init container configuration and Git-based change management. No bugs were reported or fixed during this period, with efforts concentrated on delivering a targeted feature to improve deployment stability.