Glen Allen, VA, United States of America

Sridhar Maramreddy

USPTO Granted Patents = 6 

Average Co-Inventor Count = 6.9

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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6 patents (USPTO):Explore Patents

Title: Sridhar Maramreddy: Innovator in Cloud Data Management

Introduction

Sridhar Maramreddy is a notable inventor based in Glen Allen, VA (US). He has made significant contributions to the field of cloud data management, holding a total of 6 patents. His work focuses on enhancing the efficiency and effectiveness of data warehousing systems in multi-cloud environments.

Latest Patents

Sridhar's latest patents include innovative methods and systems for detecting unmanaged resources in cloud-based data warehousing systems. These methods involve the use of devices and computer-readable media to collect data from accounts hosted on various cloud platforms. His inventions facilitate the on-demand creation of data collection accounts, enabling the discovery and onboarding of data warehouse resources that are not managed by the cloud data management system. Another significant patent addresses methods of data sharing across different cloud regions and platforms, allowing for seamless data exchange between accounts associated with different organizations.

Career Highlights

Sridhar Maramreddy is currently employed at Capital One Services, LLC, where he applies his expertise in cloud data management. His role involves developing solutions that improve data handling and resource management in cloud environments. His innovative approach has positioned him as a key player in the advancement of cloud technology.

Collaborations

Sridhar collaborates with talented professionals such as Hiren Shah and Ganesh Bharathan, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Sridhar Maramreddy's contributions to cloud data management through his patents and work at Capital One Services, LLC highlight his role as a leading inventor in the field. His innovative solutions continue to shape the future of data warehousing systems.

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