Seattle, WA, United States of America

Praveenkumar Udayakumar


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Praveenkumar Udayakumar: Innovator in Auto-Scaling Compute Resources

Introduction

Praveenkumar Udayakumar is a notable inventor based in Seattle, WA. He has made significant contributions to the field of computing, particularly in the area of resource management for software applications. His innovative approach to automatically scaling compute resources has garnered attention in the tech industry.

Latest Patents

Udayakumar holds a patent for "Automatically scaling compute resources for heterogeneous workloads." This patent describes techniques for auto-scaling compute resources, such as virtual machine instances, containers, or standalone servers. The invention focuses on optimizing resource allocation based on the utilization of worker pools, which represent the number of requests a service can handle concurrently. By measuring worker pool utilization, the scaling service can dynamically adjust the number of compute instances, adding resources when demand increases and removing them when demand decreases.

Career Highlights

Praveenkumar Udayakumar is currently employed at Amazon Technologies, Inc., where he continues to innovate and develop solutions that enhance the efficiency of service-oriented software applications. His work has had a significant impact on how compute resources are managed in cloud environments.

Collaborations

Udayakumar has collaborated with talented individuals such as Vivek Bhadauria and Jonathan Hedley. These partnerships have contributed to the development of cutting-edge technologies and solutions in the field of computing.

Conclusion

Praveenkumar Udayakumar is a pioneering inventor whose work in auto-scaling compute resources is shaping the future of software application management. His contributions are vital in optimizing resource utilization and enhancing the performance of applications across various platforms.

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