Patents by Inventor Dinesh Narendra Jibhe

Dinesh Narendra Jibhe 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).

  • Intelligent software compiler dependency fulfillment
    Patent number: 10802803
    Abstract: A machine learning tool for resolving a compiler error in an application is provided. The application and an associated application metadata file may be stored on a server. The machine learning tool may identify one or more referenced external dependencies causing the compiler error. The machine learning tool may comprise a web crawler configured to locate one or more comparable external dependencies. The web crawler may retrieve an external dependent metadata file for each of the located comparable external dependencies and download the comparable external dependent metadata files. The machine learning tool may be configured to compare the metadata of each comparable external dependent metadata file to the metadata of the application metadata file, assign a confidence level relative to a pre-determined confidence level, for each located comparable external dependency, and download the located comparable external dependencies having a confidence level greater than the pre-determined confidence level.
    Type: Grant
    Filed: October 25, 2019
    Date of Patent: October 13, 2020
    Assignee: Bank of America Corporation
    Inventors: Awadhesh Pratap Singh, Dinesh Narendra Jibhe
  • INTELLIGENT SOFTWARE COMPILER DEPENDENCY FULFILLMENT
    Publication number: 20200057614
    Abstract: A machine learning tool for resolving a compiler error in an application is provided. The application and an associated application metadata file may be stored on a server. The machine learning tool may identify one or more referenced external dependencies causing the compiler error. The machine learning tool may comprise a web crawler configured to locate one or more comparable external dependencies. The web crawler may retrieve an external dependent metadata file for each of the located comparable external dependencies and download the comparable external dependent metadata files. The machine learning tool may be configured to compare the metadata of each comparable external dependent metadata file to the metadata of the application metadata file, assign a confidence level relative to a pre-determined confidence level, for each located comparable external dependency, and download the located comparable external dependencies having a confidence level greater than the pre-determined confidence level.
    Type: Application
    Filed: October 25, 2019
    Publication date: February 20, 2020
    Inventors: Awadhesh Pratap Singh, Dinesh Narendra Jibhe
  • Intelligent software compiler dependency fulfillment
    Patent number: 10459701
    Abstract: A machine learning tool for resolving a compiler error in an application is provided. The application and an associated application metadata file may be stored on a server. The machine learning tool may identify one or more referenced external dependencies causing the compiler error. The machine learning tool may comprise a web crawler configured to locate one or more comparable external dependencies. The web crawler may retrieve an external dependent metadata file for each of the located comparable external dependencies and download the comparable external dependent metadata files. The machine learning tool may be configured to compare the metadata of each comparable external dependent metadata file to the metadata of the application metadata file, assign a confidence level relative to a pre-determined confidence level, for each located comparable external dependency, and download the located comparable external dependencies having a confidence level greater than the pre-determined confidence level.
    Type: Grant
    Filed: June 4, 2019
    Date of Patent: October 29, 2019
    Assignee: Bank of America Corporation
    Inventors: Awadhesh Pratap Singh, Dinesh Narendra Jibhe
  • INTELLIGENT SOFTWARE COMPILER DEPENDENCY FULFILLMENT
    Publication number: 20190286428
    Abstract: A machine learning tool for resolving a compiler error in an application is provided. The application and an associated application metadata file may be stored on a server. The machine learning tool may identify one or more referenced external dependencies causing the compiler error. The machine learning tool may comprise a web crawler configured to locate one or more comparable external dependencies. The web crawler may retrieve an external dependent metadata file for each of the located comparable external dependencies and download the comparable external dependent metadata files. The machine learning tool may be configured to compare the metadata of each comparable external dependent metadata file to the metadata of the application metadata file, assign a confidence level relative to a pre-determined confidence level, for each located comparable external dependency, and download the located comparable external dependencies having a confidence level greater than the pre-determined confidence level.
    Type: Application
    Filed: June 4, 2019
    Publication date: September 19, 2019
    Inventors: Awadhesh Pratap Singh, Dinesh Narendra Jibhe
  • Intelligent software compiler dependency fulfillment
    Patent number: 10353676
    Abstract: A machine learning tool for resolving a compiler error in an application is provided. The application and an associated application metadata file may be stored on a server. The machine learning tool may identify one or more referenced external dependencies causing the compiler error. The machine learning tool may comprise a web crawler configured to locate one or more comparable external dependencies. The web crawler may retrieve an external dependent metadata file for each of the located comparable external dependencies and download the comparable external dependent metadata files. The machine learning tool may be configured to compare the metadata of each comparable external dependent metadata file to the metadata of the application metadata file, assign a confidence level relative to a pre-determined confidence level, for each located comparable external dependency, and download the located comparable external dependencies having a confidence level greater than the pre-determined confidence level.
    Type: Grant
    Filed: November 13, 2017
    Date of Patent: July 16, 2019
    Assignee: Bank of America Corporation
    Inventors: Awadhesh Pratap Singh, Dinesh Narendra Jibhe
  • INTELLIGENT SOFTWARE COMPILER DEPENDENCY FULFILLMENT
    Publication number: 20190146762
    Abstract: A machine learning tool for resolving a compiler error in an application is provided. The application and an associated application metadata file may be stored on a server. The machine learning tool may identify one or more referenced external dependencies causing the compiler error. The machine learning tool may comprise a web crawler configured to locate one or more comparable external dependencies. The web crawler may retrieve an external dependent metadata file for each of the located comparable external dependencies and download the comparable external dependent metadata files. The machine learning tool may be configured to compare the metadata of each comparable external dependent metadata file to the metadata of the application metadata file, assign a confidence level relative to a pre-determined confidence level, for each located comparable external dependency, and download the located comparable external dependencies having a confidence level greater than the pre-determined confidence level.
    Type: Application
    Filed: November 13, 2017
    Publication date: May 16, 2019
    Inventors: Awadhesh Pratap Singh, Dinesh Narendra Jibhe