Seattle, WA, United States of America

Lakshmi Narasimha Guptha Munuhur Rajagopal


Average Co-Inventor Count = 7.6

ph-index = 1

Forward Citations = 12(Granted Patents)


Location History:

  • Seattle, WA (US) (2021 - 2022)
  • Shoreline, WA (US) (2024)

Company Filing History:


Years Active: 2021-2024

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3 patents (USPTO):

Title: Innovations of Lakshmi Narasimha Guptha Munuhur Rajagopal

Introduction

Lakshmi Narasimha Guptha Munuhur Rajagopal is a notable inventor based in Seattle, WA. He has made significant contributions to the field of database technology, holding three patents that showcase his innovative approach to solving complex problems in non-relational data storage.

Latest Patents

One of his latest patents is titled "Efficient drop column requests in a non-relational data store." This invention addresses the need for efficiently dropping columns in a non-relational database. The process involves receiving a drop column request, updating schema information, creating a backup of the table, and deleting the specified column from identified items.

Another significant patent is "Distributed database exception handling." This invention focuses on maintaining data for a database client across multiple storage nodes. It translates requests from the client into a different format, handles exceptions, and ensures that requests are resent until they are successfully completed or a predetermined time period expires.

Career Highlights

Lakshmi Narasimha Guptha Munuhur Rajagopal is currently employed at Amazon Technologies, Inc., where he continues to innovate and develop solutions that enhance database management systems. His work has had a profound impact on how data is handled in distributed environments.

Collaborations

He has collaborated with talented coworkers such as Almero Gouws and Akshat Vig, contributing to a dynamic and innovative work environment.

Conclusion

Lakshmi Narasimha Guptha Munuhur Rajagopal is a distinguished inventor whose patents reflect his expertise in database technology. His contributions are paving the way for advancements in data management systems.

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