Menlo Park, CA, United States of America

Matthew Wu

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Rubrik, Inc.. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthew Wu. Retrieved from https://idiyas.com/inventor/matthew-wu-v2ywmakw

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 4.6

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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3 patents (USPTO):Explore Patents

Title: Innovations of Matthew Wu

Introduction

Matthew Wu is an accomplished inventor based in Menlo Park, California. He has made significant contributions to the field of data management through his innovative patent. His work focuses on enhancing the accessibility and management of metadata in distributed systems.

Latest Patents

Matthew Wu holds a patent titled "Techniques for upgrading and accessing metadata." This patent describes methods, systems, and devices for data management. The data management system (DMS) he developed can receive requests to access metadata stored in a distributed metadata repository. The DMS translates requests from one semantic format to another, ensuring compatibility with different versions of the repository. This innovative approach allows for efficient access to metadata based on the current version of the data.

Career Highlights

Matthew Wu is currently employed at Rubrik, Inc., where he continues to work on cutting-edge technologies in data management. His expertise in the field has positioned him as a valuable asset to the company.

Collaborations

Some of his notable coworkers include Janmejay Singh and Atanu Mishra, who contribute to the innovative environment at Rubrik, Inc.

Conclusion

Matthew Wu's contributions to data management through his patent demonstrate his commitment to innovation in technology. His work not only enhances the efficiency of metadata access but also showcases the importance of collaboration in driving advancements in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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