Patents by Inventor Maneet Sharma

Maneet Sharma 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: 12288192
    Abstract: Systems and methods for a software development lifecycle traceability tool. In some aspects, the system may implement a traceability tool that generates a system data stream for an SDLC management platform that stitches together source data from multiple sources, trains a machine learning model to generate progress information and execution risks for a user story on the SDLC management platform, generates a graphical user interface with information for each user story and corresponding progress tracking indicia based on output from the machine learning model, and generates an event-based view of prior actions for each user story and one or more recommended actions to address execution risks.
    Type: Grant
    Filed: October 24, 2024
    Date of Patent: April 29, 2025
    Assignee: CITIBANK, N.A.
    Inventors: Mayank Vinayaka, Ryan Peterman, Badari Narayana Shanka Prasad, Richard Lawton, Vitthal Ramling Betgar, Adar Danait, Balaji Kumar, Robin J. Kurian, Maneet Sharma, Anantha Veerasami
  • Patent number: 12236400
    Abstract: A custom system data stream stitches together aspects of data streams from source systems. In one implementation, an analytics circuit extracts from a first data stream received from a system quality assurance (QA) management system, test case data. The analytics circuit parses metadata, such as a user story identifier, from the test case data. Based on the metadata, the analytics circuit parses, from a second data stream received from a system development lifecycle (SDLC) management computing system, SDLC item data, such as a project identifier. Based on the SDLC item data, the analytics circuit determines at least one impacted computer application. The custom system data stream is bound to a graphical user interface. In some implementations, the interface includes a plurality of side-by-side smart dials.
    Type: Grant
    Filed: October 13, 2023
    Date of Patent: February 25, 2025
    Assignee: CITIBANK, N.A.
    Inventors: Vitthal Ramling Betgar, Adar Danait, Balaji Kumar, Robin J. Kurian, Maneet Sharma, Anantha Veerasami
  • Publication number: 20250045667
    Abstract: Systems and methods are described for a three-tiered artificial intelligence architecture that synchronizes processing statement deployment across diverse computer networks. The system may receive, at a user interface, a first request for a first recommendation. The first recommendation includes a set of standardized processing statements for implementing on a function. The system may input the first request into a first network component. The first network component includes first, second, and third models. The first model is trained to generate a library of standardized processing statements. The second model is trained to generate a plurality of standardized processing characteristic values for each standardized processing statement in the library. The third model is trained to generate recommendations of sets of standardized processing statements to functions. The system receives an output from the first network component and generates for display the first recommendation based on the output.
    Type: Application
    Filed: October 18, 2024
    Publication date: February 6, 2025
    Applicant: Citibank, N.A.
    Inventors: Maneet Sharma, Flora Sah, Adar Kiran Danait, Ashima Gupta, James Iacona, Crystal Lynn Magruder, Tracy L. Yager
  • Publication number: 20250045698
    Abstract: Systems and methods for a software development lifecycle traceability tool. In some aspects, the system may implement a traceability tool that generates a system data stream for an SDLC management platform that stitches together source data from multiple sources, trains a machine learning model to generate progress information and execution risks for a user story on the SDLC management platform, generates a graphical user interface with information for each user story and corresponding progress tracking indicia based on output from the machine learning model, and generates an event-based view of prior actions for each user story and one or more recommended actions to address execution risks.
    Type: Application
    Filed: October 24, 2024
    Publication date: February 6, 2025
    Applicant: Citibank, N.A.
    Inventors: Mayank VINAYAKA, Ryan PETERMAN, Badari Narayana SHANKA PRASAD, Richard LAWTON, Vitthal Ramling BETGAR, Adar DANAIT, Balaji KUMAR, Robin J. KURIAN, Maneet SHARMA, Anantha VEERASAMI
  • Patent number: 12131280
    Abstract: Systems and methods are described for a three-tiered artificial intelligence architecture that synchronizes processing statement deployment across diverse computer networks. The system may receive, at a user interface, a first request for a first recommendation. The first recommendation includes a set of standardized processing statements for implementing on a function. The system may input the first request into a first network component. The first network component includes first, second, and third models. The first model is trained to generate a library of standardized processing statements. The second model is trained to generate a plurality of standardized processing characteristic values for each standardized processing statement in the library. The third model is trained to generate recommendations of sets of standardized processing statements to functions. The system receives an output from the first network component and generates for display the first recommendation based on the output.
    Type: Grant
    Filed: July 28, 2023
    Date of Patent: October 29, 2024
    Assignee: Citibank, N.A.
    Inventors: Maneet Sharma, Flora Sah, Adar Kiran Danait, Ashima Gupta, James Iacona, Crystal Lynn Magruder, Tracy L. Yager
  • Publication number: 20240330818
    Abstract: Systems and methods are described for a three-tiered artificial intelligence architecture that synchronizes processing statement deployment across diverse computer networks. The system may receive, at a user interface, a first request for a first recommendation. The first recommendation includes a set of standardized processing statements for implementing on a function. The system may input the first request into a first network component. The first network component includes first, second, and third models. The first model is trained to generate a library of standardized processing statements. The second model is trained to generate a plurality of standardized processing characteristic values for each standardized processing statement in the library. The third model is trained to generate recommendations of sets of standardized processing statements to functions. The system receives an output from the first network component and generates for display the first recommendation based on the output.
    Type: Application
    Filed: July 28, 2023
    Publication date: October 3, 2024
    Applicant: Citibank, N.A.
    Inventors: Maneet SHARMA, Flora SAH, Adar Kiran DANAIT, Ashima GUPTA, James IACONA, Crystal Lynn MAGRUDER, Tracy L. YAGER
  • Publication number: 20240320626
    Abstract: A custom system data stream stitches together aspects of data streams from source systems. In one implementation, an analytics circuit extracts from a first data stream received from a system quality assurance (QA) management system, test case data. The analytics circuit parses metadata, such as a user story identifier, from the test case data. Based on the metadata, the analytics circuit parses, from a second data stream received from a system development lifecycle (SDLC) management computing system, SDLC item data, such as a project identifier. Based on the SDLC item data, the analytics circuit determines at least one impacted computer application. The custom system data stream is bound to a graphical user interface. In some implementations, the interface includes a plurality of side-by-side smart dials.
    Type: Application
    Filed: October 13, 2023
    Publication date: September 26, 2024
    Inventors: Vitthal Ramling Betgar, Adar Danait, Balaji Kumar, Robin J. Kurian, Maneet Sharma, Anantha Veerasami
  • Patent number: 11797936
    Abstract: A custom system data stream stitches together aspects of various data streams from source systems. In one implementation, an analytics circuit of a computing system extracts, from a first data stream received from a system quality assurance (QA) management system, test case data. The analytics circuit parses metadata, including a user story identifier, from the test case data. Based on the user story identifier, the analytics circuit parses, from a second data stream received from a system development lifecycle (SDLC) management computing system, SDLC item data that includes a project identifier. Based on the project identifier from the second data stream, the analytics circuit determines at least one computer application impacted by activity associated with the test case data from the first data stream. Items from the source data streams are dynamically identified for inclusion in the custom system data stream. The custom system data stream is bound to a graphical user interface.
    Type: Grant
    Filed: March 22, 2023
    Date of Patent: October 24, 2023
    Assignee: CITIBANK, N.A.
    Inventors: Vitthal Ramling Betgar, Adar Danait, Balaji Kumar, Robin J. Kurian, Maneet Sharma, Anantha Veerasami
  • Patent number: 11763236
    Abstract: Systems and methods are described for a three-tiered artificial intelligence architecture that synchronizes processing statement deployment across diverse computer networks. The system may receive, at a user interface, a first request for a first recommendation. The first recommendation includes a set of standardized processing statements for implementing on a function. The system may input the first request into a first network component. The first network component includes first, second, and third models. The first model is trained to generate a library of standardized processing statements. The second model is trained to generate a plurality of standardized processing characteristic values for each standardized processing statement in the library. The third model is trained to generate recommendations of sets of standardized processing statements to functions. The system receives an output from the first network component and generates for display the first recommendation based on the output.
    Type: Grant
    Filed: March 27, 2023
    Date of Patent: September 19, 2023
    Assignee: Citibank, N.A.
    Inventors: Maneet Sharma, Flora Sah, Adar Kiran Danait, Ashima Gupta, James Iacona, Crystal Lynn Magruder, Tracy L. Yager