Frisco, TX, United States of America

Venkateshwar Parpelli

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.9

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Innovations of Venkateshwar Parpelli

Introduction

Venkateshwar Parpelli is an accomplished inventor based in Frisco, TX (US). He has made significant contributions to the field of data processing and cloud computing, holding a total of three patents. His work focuses on enhancing the efficiency and effectiveness of data extraction and processing in real-time environments.

Latest Patents

One of his latest patents is titled "Systems and methods for extracting and processing data using optical character recognition in real-time environments." This invention provides novel techniques for extracting data using optical character recognition (OCR) and includes mechanisms to process that data efficiently. The methods are particularly relevant in real-time environments, as they minimize the need for manual review.

Another notable patent is "Cloud resource operations for databases in multiple distributed cloud deployment zones." In this patent, a cloud system can obtain data from an application executing in a specific cloud deployment zone. The system stores this data in a database with a deployment zone identifier, allowing for efficient operations based on the data and its location.

Career Highlights

Venkateshwar Parpelli is currently employed at Capital One Services, LLC, where he continues to innovate and develop new technologies. His expertise in data processing and cloud systems has positioned him as a valuable asset in his field.

Collaborations

He has collaborated with notable coworkers, including Kenneth Cardozo and Landon Nehmer, contributing to various projects that enhance the capabilities of their organization.

Conclusion

Venkateshwar Parpelli's contributions to the fields of data processing and cloud computing are noteworthy. His innovative patents reflect his commitment to advancing technology and improving efficiency in real-time data environments.

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