This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Plaid Inc.. Active years: 2022-2025.
Company Filing History:
Years Active: 2022-2025
Title: Kinako Abe: Innovator in Data Parsing Technologies
Introduction
Kinako Abe is a notable inventor based in Union City, NJ (US). He has made significant contributions to the field of data parsing, holding 2 patents that showcase his innovative approach to handling raw data associated with transactions. His work is instrumental in enhancing the efficiency and accuracy of data processing systems.
Latest Patents
One of Kinako Abe's latest patents focuses on systems and methods for data parsing. This patent describes a method that involves receiving a text string containing raw data for a transaction. The method matches the text string to various locations within a location corpus to extract relevant location information. Additionally, it identifies a candidate entity from the text string based on a similarity score compared to a plurality of entities within an entity corpus. If the similarity score of the identified candidate entity falls below a certain threshold, the method generates entity information using tokens indicative of that entity. Ultimately, it produces normalized transaction data that includes the extracted location information and either the identified candidate entity or the generated entity information.
Career Highlights
Kinako Abe is currently employed at Plaid Inc., where he continues to develop innovative solutions in data parsing. His expertise in this area has positioned him as a valuable asset to his company and the broader tech community.
Collaborations
Kinako has collaborated with talented individuals such as Zhongkun Jin and Louis Ben Arous, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Kinako Abe's contributions to data parsing technologies reflect his commitment to advancing the field. His patents and work at Plaid Inc. demonstrate his innovative spirit and dedication to improving data processing systems.
