Santa Clara, CA, United States of America

Amit Krishnan

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Amit Krishnan

Introduction

Amit Krishnan is a notable inventor based in Santa Clara, CA. He has made significant contributions to the field of database technology, particularly in improving query performance through innovative replication techniques. His work is recognized for its potential to enhance the efficiency of scalable database systems.

Latest Patents

Amit holds a patent titled "Configuring replication across shards of scalable database tables for improved query performance." This patent addresses the replication of a client-managed table, which can be configured as a complete copy collocated with multiple shards of system-managed tables. The innovation allows for improved query performance by storing the complete copy in respective storage volumes of the shards. Additionally, metadata is updated to facilitate access requests at the database system, ensuring that the client-managed table is effectively integrated with the system-managed tables.

Career Highlights

Amit Krishnan is currently employed at Amazon Technologies, Inc., where he continues to push the boundaries of database technology. His work focuses on developing solutions that enhance the performance and scalability of database systems. With a patent portfolio that includes 1 patent, Amit is recognized as a valuable asset in the tech industry.

Collaborations

Amit has collaborated with talented professionals such as Jan Engelsberg and Saleem Mohideen. These collaborations have contributed to the development of innovative solutions in the field of database management.

Conclusion

Amit Krishnan's contributions to database technology exemplify the impact of innovative thinking in the tech industry. His patent on configuring replication across shards showcases his commitment to improving query performance and enhancing the efficiency of database systems.

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