Fremont, CA, United States of America

Kevin Rui Luo

USPTO Granted Patents = 7 

Average Co-Inventor Count = 3.2

ph-index = 3

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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7 patents (USPTO):Explore Patents

Title: Kevin Rui Luo: Innovator in Database Discovery Technologies

Introduction

Kevin Rui Luo is a prominent inventor based in Fremont, California. He has made significant contributions to the field of database technologies, holding a total of seven patents. His work focuses on automated systems that enhance the efficiency of database discovery processes.

Latest Patents

One of Kevin's latest patents is titled "Automated Discovery of Databases." This invention describes techniques for database discovery within a networked computing system. The system includes a backup node cluster that communicates with a host database node cluster. The host database is initially undiscovered by the backup node cluster. The invention outlines operations that involve installing a backup agent on a node of the host database cluster, registering the host at the backup service, and triggering a discovery process to automatically identify the undiscovered database. This process includes receiving metadata related to the discovered database and facilitating communication with it.

Career Highlights

Kevin Rui Luo is currently employed at Rubrik, Inc., a company known for its innovative cloud data management solutions. His role involves leveraging his expertise in database technologies to develop cutting-edge solutions that address modern data challenges.

Collaborations

Throughout his career, Kevin has collaborated with talented professionals, including Deepti Kochar and Anshul Mohan Gupta. These collaborations have contributed to the advancement of technologies in the field of database management.

Conclusion

Kevin Rui Luo is a notable inventor whose work in automated database discovery is shaping the future of data management. His contributions continue to influence the industry and enhance the efficiency of database systems.

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