San Jose, CA, United States of America

Gaurav Sharma


 

Average Co-Inventor Count = 4.6

ph-index = 2

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2007-2019

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6 patents (USPTO):Explore Patents

Title: Gaurav Sharma: Innovator in Deduplication Technology

Introduction

Gaurav Sharma is a prominent inventor based in San Jose, CA (US). He has made significant contributions to the field of data storage and management, particularly in deduplication technology. With a total of 6 patents to his name, Sharma's work has had a substantial impact on how data is processed and stored efficiently.

Latest Patents

One of Sharma's latest patents is titled "System and method for managing deduplication using checkpoints in a file storage system." This innovative deduplication system involves a sophisticated interaction between a software-based system that oversees the overall background deduplication process and a hardware-based system that includes a filesystem manager and a hash generator. The patent leverages a filesystem checkpoint mechanism to manage the background deduplication process effectively. This approach reduces processing complexity when identifying chunks that are candidates for deduplication and processing such chunks.

Career Highlights

Throughout his career, Gaurav Sharma has worked with notable companies such as SAP AG and Hitachi Data Systems Engineering UK Limited. His experience in these organizations has allowed him to refine his skills and contribute to advancements in data management technologies.

Collaborations

Sharma has collaborated with several professionals in his field, including Martin Chen and Shailesh P Mane. These collaborations have further enriched his work and contributed to the development of innovative solutions in data storage.

Conclusion

Gaurav Sharma's contributions to deduplication technology and data management are noteworthy. His innovative patents and career achievements reflect his dedication to advancing the field. As an inventor, he continues to influence how data is efficiently managed and stored in modern systems.

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