Patents by Inventor Jr-Wei Jeng

Jr-Wei Jeng has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12254053
    Abstract: A method may include executing an entity resolution microservice programmed to receive an entity-specific data request for entity-specific data for an entity from a plurality of entities. An application programming interface (API) call is transmitted to an entity profile database that programs the entity profile database to identify entity-specific data in data records matching the entity-specific data in the entity-specific data request and transmit to the entity resolution microservice a compressed representation of the entity-specific data identified in the at least one entity profile database. The compressed representation may be received and the compressed representation may be transformed to an uncompressed representation. An entity-specific database query request for a search engine to perform a database search for additional entity-specific data is generated based on the uncompressed representation.
    Type: Grant
    Filed: March 12, 2024
    Date of Patent: March 18, 2025
    Assignee: Capital One Services, LLC
    Inventors: Ali S. Al-Shehab, Jr-Wei Jeng, Niti N. Sheth, Tanveer Afzal Faruquie, David Edward Lutz, Nathan L. Sheridan
  • Patent number: 12235814
    Abstract: This disclosure generally relates to computer-based systems configured for one or more novel technological applications of information processing in the field of database resolution from an enhanced query data refinement in an elastic search environment utilizing a machine learning model pipeline to resolve entity records.
    Type: Grant
    Filed: March 13, 2024
    Date of Patent: February 25, 2025
    Assignee: Capital One Services, LLC
    Inventors: Ali S. Al-Shehab, Jr-Wei Jeng, Niti N. Sheth, Tanveer Afzal Faruquie, David Edward Lutz, Nathan L. Sheridan