Palo Alto, CA, United States of America

Tejal Joshi Chakeres

USPTO Granted Patents = 4 

Average Co-Inventor Count = 5.4

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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4 patents (USPTO):

Title: Tejal Joshi Chakeres: Innovator in Data Storage Solutions

Introduction

Tejal Joshi Chakeres is a prominent inventor based in Palo Alto, CA, known for her significant contributions to data storage technology. With a total of four patents to her name, she has made remarkable strides in optimizing file systems and enhancing data transfer processes.

Latest Patents

Tejal's latest patents include innovative solutions such as "Replicating a file system" and "Optimizing a transfer of a file system." The first patent describes an illustrative data storage system designed to replicate a pod that includes a file system constructed of block objects. This pod groups storage entities within a namespace and supports operations on these entities as a collective. The block objects are capable of storing metadata for individual files and directories, allowing for random read-write access to associated data. The second patent focuses on optimizing the transfer of a file system from a source storage system to a target storage system. This system determines if a copy of a collection of blocks containing data is already stored at the target system, thereby streamlining the transfer process.

Career Highlights

Tejal currently works at Pure Storage, Inc., where she continues to develop cutting-edge technologies in data storage. Her work has been instrumental in advancing the efficiency and reliability of data management systems.

Collaborations

Tejal collaborates with notable colleagues such as Dirk Meister and Ronald S Karr, contributing to a dynamic team focused on innovation in the tech industry.

Conclusion

Tejal Joshi Chakeres exemplifies the spirit of innovation in the field of data storage solutions. Her patents reflect her commitment to enhancing technology and improving data management processes.

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