Keedysville, MD, United States of America

Khristina Waters


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):Explore Patents

Title: Innovations by Khristina Waters

Introduction

Khristina Waters is an accomplished inventor based in Keedysville, Maryland. She has made significant contributions to the field of automated data validation, particularly in the context of loan origination. With two patents to her name, her work focuses on enhancing the reliability of financial transactions through innovative technological solutions.

Latest Patents

Khristina's latest patents include a system that utilizes automated data validation in loan origination to evaluate creditworthiness and data reliability. This system comprises a device with a memory that includes an application designed to validate data in an acquisition. The application is configured to electronically receive a query for a financial transaction between two parties. It transmits an encryption key from one party to a third party and accesses a set of data associated with the transaction. The system then validates this data by applying validation heuristics and outputs a finding report, providing the second party with the validation heuristic output.

Career Highlights

Khristina Waters is currently employed at Fannie Mae, where she applies her expertise in data validation to improve financial processes. Her innovative approach has positioned her as a key player in her field, contributing to advancements in how financial transactions are assessed and processed.

Collaborations

Khristina has collaborated with notable colleagues, including Eric Rosenblatt and Stacey Shifman. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and innovation.

Conclusion

Khristina Waters exemplifies the spirit of innovation in the financial technology sector. Her patents and work at Fannie Mae highlight her commitment to improving data validation processes, ultimately enhancing the reliability of financial transactions.

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