Seattle, WA, United States of America

Shuab Khan

This inventor holds 2 USPTO granted patents. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2014-2016.


% Patents Active = 100.0

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 14(Granted Patents)


Location History:

  • Bellevue, WA (US) (2014)
  • Seattle, WA (US) (2016)

Company Filing History:


Years Active: 2014-2016

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2 patents (USPTO):Explore Patents

Title: Innovations by Shuab Khan

Introduction

Shuab Khan is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of data protection and backup techniques. With a total of 2 patents, his work focuses on enhancing the security and reliability of message systems.

Latest Patents

Shuab Khan's latest patents include "Enhanced data protection for message volumes" and "Techniques for leveraging replication to provide rolling point in time backup with simplified restoration through distributed transactional re-creation." The first patent addresses the health of message volume instances in a replication environment, allowing message systems to independently assess and initiate protection actions when necessary. The second patent describes methods for creating availability copies of data and restoring them efficiently in case of errors, ensuring data integrity and accessibility.

Career Highlights

Shuab Khan is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His expertise in data protection and backup solutions has positioned him as a valuable asset in the tech industry.

Collaborations

Shuab has collaborated with talented coworkers such as Yogesh Bansal and Nikita Kozhekin, contributing to various projects and advancements in technology.

Conclusion

Shuab Khan's innovative patents and contributions to data protection highlight his role as a leading inventor in the technology sector. His work not only enhances the security of message systems but also improves data management practices.

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