Austin, TX, United States of America

Chengal Yerradoddi

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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4 patents (USPTO):Explore Patents

Title: Innovations of Chengal Yerradoddi

Introduction

Chengal Yerradoddi is a notable inventor based in Austin, TX (US). He has made significant contributions to the field of technology, particularly in the realm of machine learning and user interaction systems. With a total of 4 patents to his name, Yerradoddi continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Systems and methods for using machine learning to predict events associated with transactions." This invention presents methods and systems for predicting the likelihood of events, such as disputes or chargebacks, related to electronic transactions. By monitoring user interactions after a transaction, the system utilizes a machine learning model to forecast potential future events.

Another significant patent is "Error resolution for interactions with user pages." This invention focuses on automatically resolving errors in user interactions without requiring the user to disengage from the page. A monitoring agent interfaces with the user page to detect errors and provide solutions contextually, enhancing user experience.

Career Highlights

Chengal Yerradoddi is currently employed at PayPal, Inc., where he applies his expertise in developing innovative solutions. His work has been instrumental in improving transaction security and user interaction efficiency.

Collaborations

Yerradoddi has collaborated with talented individuals such as Phanendra Mallampalli and Abhishek Hodavdekar. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Chengal Yerradoddi's contributions to technology through his patents and work at PayPal, Inc. highlight his role as an influential inventor. His innovative approaches to machine learning and user interaction continue to shape the future of electronic transactions.

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