DALY CITY, CA, United States of America

Zoltan Dewitt

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Zoltan Dewitt: Innovator in Data Storage Solutions

Introduction

Zoltan Dewitt is a notable inventor based in Daly City, California. He has made significant contributions to the field of data storage, particularly through his innovative patent that addresses the selection of storage resources based on data characteristics. His work is instrumental in enhancing the efficiency of data management systems.

Latest Patents

Zoltan Dewitt holds a patent titled "Selecting storage resources based on data characteristics." This patent involves determining the appropriate storage type for data within a storage system that includes multiple types of data storage. The process considers whether the data is associated with one or more snapshots stored in the system. The determination of the storage type is based on whether the data is stored in at least one volume, leading to optimized data storage solutions.

Career Highlights

Zoltan Dewitt is currently employed at Pure Storage, Inc., a company renowned for its cutting-edge data storage solutions. His role at Pure Storage allows him to apply his innovative ideas and contribute to the development of advanced storage technologies. His expertise in data characteristics and storage selection has positioned him as a valuable asset in the tech industry.

Collaborations

Zoltan collaborates with John Colgrove, a fellow innovator at Pure Storage. Together, they work on projects that aim to improve data storage efficiency and reliability. Their combined efforts contribute to the ongoing advancements in the field of data management.

Conclusion

Zoltan Dewitt's contributions to data storage technology through his patent and work at Pure Storage highlight his role as an influential inventor in the tech industry. His innovative approach to selecting storage resources based on data characteristics continues to shape the future of data management solutions.

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