Hyderabad, India

Ramachandra Reddy Ankireddypalle


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Ramachandra Reddy Ankireddypalle

Introduction

Ramachandra Reddy Ankireddypalle is a notable inventor based in Hyderabad, India. He has made significant contributions to the field of data storage systems, holding two patents that enhance information management. His work focuses on improving the efficiency and speed of data retrieval processes.

Latest Patents

One of his latest patents is a data storage system with rapid restore capability. This innovative system implements a staging area or cache to temporarily store primary data in its native format before it is converted into secondary copies. The system includes various media agents equipped with high-speed drives. When a client computing device submits primary data for conversion, the data is initially stored in its native format on these high-speed drives. If a request for the primary data is made, the media agent retrieves it directly from the high-speed drives, eliminating the need for conversion operations. This process significantly reduces restore delays, enhancing the overall efficiency of data management.

Career Highlights

Ramachandra Reddy Ankireddypalle is currently associated with CommVault Systems, Inc., where he continues to innovate in the field of data management. His expertise in developing advanced information systems has positioned him as a key player in the industry.

Collaborations

He has collaborated with notable coworkers such as Manoj Kumar Vijayan and Pratima Bapusaheb Kudale, contributing to various projects that aim to improve data storage and retrieval systems.

Conclusion

Ramachandra Reddy Ankireddypalle's contributions to data storage technology reflect his commitment to innovation and efficiency. His patents demonstrate a clear understanding of the challenges in information management and provide effective solutions to enhance data retrieval processes.

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