Patents by Inventor Rishi Jhamb

Rishi Jhamb 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).

  • Publication number: 20230260025
    Abstract: Systems, methods, and computer program products are provided for facilitating high frequency processing using stored models. A method for facilitating high frequency processing using stored models is provided. The method includes receiving a set of code relating to a machine learning model configured to process data. The method also includes generating a model executable file from the set of code relating to the machine learning model. The model executable file is configured to process inputted data using the machine learning model upon execution. The method still further includes storing the model executable file on an in-memory of a local device used to process inputted data.
    Type: Application
    Filed: February 14, 2022
    Publication date: August 17, 2023
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: Nitin Saraswat, Manish Mohan, Rishi Jhamb
  • Patent number: 11709854
    Abstract: A machine learning computing system for extracting structured data objects from electronic documents comprising unstructured text includes a first data repository storing a plurality of electronic documents including at least one text data object and an expert system computing device. The expert system computing device includes a processor and a non-transitory memory device storing instructions causing the expert system to receive a first data object comprising unstructured data identified from an electronic document stored in the first data repository, process, a first set of rules to identify at least one key-value pair data object from the first data object; process, by an inference engine module, a second set of rules to identify at least one free text data object from the first data object and store, in a non-transitory memory device, the at least one key-value pair and the at least one free text data object.
    Type: Grant
    Filed: January 2, 2018
    Date of Patent: July 25, 2023
    Assignee: Bank of America Corporation
    Inventors: Nitin Saraswat, Rishi Jhamb
  • Publication number: 20190205636
    Abstract: A machine learning computing system for extracting structured data objects from electronic documents comprising unstructured text includes a first data repository storing a plurality of electronic documents including at least one text data object and an expert system computing device. The expert system computing device includes a processor and a non-transitory memory device storing instructions causing the expert system to receive a first data object comprising unstructured data identified from an electronic document stored in the first data repository, process, a first set of rules to identify at least one key-value pair data object from the first data object; process, by an inference engine module, a second set of rules to identify at least one free text data object from the first data object and store, in a non-transitory memory device, the at least one key-value pair and the at least one free text data object.
    Type: Application
    Filed: January 2, 2018
    Publication date: July 4, 2019
    Applicant: Bank of America Corporation
    Inventors: Nitin Saraswat, Rishi Jhamb