This inventor holds 1 USPTO granted patent. Top assignees: Rakuten Symphony, Inc., Technical University of Munich. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2026
Title: Innovator Profile: Jee Chang Leon Wong
Introduction
Jee Chang Leon Wong is a notable inventor based in Tokyo, Japan. He has made significant contributions to the field of technology, particularly in the area of workload management in Kubernetes environments. His innovative approach has led to the development of a unique patent that addresses key challenges in this domain.
Latest Patents
Jee Chang Leon Wong holds a patent titled "Automated Kubernetes adaptation through a digital twin." This patent describes a method of workload management in a Kubernetes (K8s) environment. The method involves obtaining performance data of at least one K8s cluster through a digital twin (DT) representing the cluster state. The DT generates a behavioral model based on the performance data, which is then used by a horizontal pod autoscaler (HPA) controller to determine an HPA configuration. Finally, the determined HPA configuration is implemented by the HPA of the K8s cluster.
Career Highlights
Throughout his career, Jee has worked with prominent organizations, including Rakuten Symphony, Inc. and the Technical University of Munich. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking projects in the tech industry.
Collaborations
Jee has collaborated with talented individuals such as Johannes Peter Donato Zerwas and Patrick Michael Krämer. These partnerships have fostered innovation and have been instrumental in the development of his patent.
Conclusion
Jee Chang Leon Wong is a distinguished inventor whose work in Kubernetes adaptation showcases his expertise and innovative spirit. His contributions to technology continue to influence the industry and pave the way for future advancements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile