Santa Clara, CA, United States of America

Ravi Lingappa Shamanna


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Introduction

Ravi Lingappa Shamanna, an innovative inventor based in Santa Clara, CA, has made a significant contribution to technology with his intellectual property. His work primarily focuses on enhancing data migration processes across various filesystems, showcasing a blend of creativity and technical expertise.

Latest Patents

Ravi holds a patent titled "Methods for copy-free data migration across filesystems and devices thereof." This patent encapsulates methods, non-transitory computer-readable media, and computing devices designed to facilitate seamless data migrations without duplication. The technology allows for the reception of filesystem metadata from one filesystem, generating identifiers that accommodate different addressing schemes, thereby improving data transfer efficiency and integrity.

Career Highlights

He currently works at NetApp, Inc., a leader in data management and cloud services. Ravi's position at NetApp highlights his role in advancing technology solutions that address contemporary data challenges. His expertise aids in bridging gaps between different filesystem architectures, making data management more streamlined.

Collaborations

Throughout his career, Ravi has collaborated with esteemed colleagues including Venkata Vijay Chaitanya Challapalli and Kumaran Nagappan. These collaborations have fostered a creative environment that encourages innovation and the development of effective technological solutions.

Conclusion

Ravi Lingappa Shamanna stands out as a noteworthy inventor whose contributions are pivotal in the field of data migration. With his unique patent and his efforts at NetApp, he continues to demonstrate the impact of innovation in today's technological landscape. His work not only reflects his ingenuity but also marks a significant advance in the way data is managed across diverse systems.

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