Zheng Chen developed dynamic resource limit functionality for the AI-Hypercomputer/xpk repository, focusing on Kueue and Jobset controllers within Kubernetes environments. He implemented auto-calculated memory limits based on cluster node count, updating both new and existing Python scripts to automate resource allocation and reduce manual intervention. By leveraging Python, YAML, and shell scripting, Zheng ensured that controller resources scale appropriately as clusters grow, directly improving deployment reliability and throughput for job orchestration workloads. His work demonstrated a strong grasp of cloud infrastructure and Kubernetes resource management, delivering a robust solution that enhances stability and scalability without introducing new bugs.