Patents by Inventor Vedavyas Bhamidipati

Vedavyas Bhamidipati 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).

  • Machine learning model and associated methods thereof for providing automated support
    Patent number: 11971779
    Abstract: Computing technology for managing support requests are provided. The technology includes a processor executable application programming interface (API) that receives a support case indicating a problem associated with a device. The API utilizes a training model to predict a problem category for the support case. The training model predicts the problem category based on a feature extracted from information included in the support case. The training model further identifies a plurality of proximate support cases based on a distance between the support case and the proximate support cases within a virtual space assigned to the predicted problem category; determines relevance of each proximate support case to the support case; and outputs a resolution code for the support case based on the determined relevance of each proximate support case.
    Type: Grant
    Filed: February 20, 2020
    Date of Patent: April 30, 2024
    Assignee: NETAPP, INC.
    Inventors: Vedavyas Bhamidipati, Prajwal V
  • MACHINE LEARNING MODEL AND ASSOCIATED METHODS THEREOF FOR PROVIDING AUTOMATED SUPPORT
    Publication number: 20210264305
    Abstract: Computing technology for managing support requests are provided. The technology includes a processor executable application programming interface (API) that receives a support case indicating a problem associated with a device. The API utilizes a training model to predict a problem category for the support case. The training model predicts the problem category based on a feature extracted from information included in the support case. The training model further identifies a plurality of proximate support cases based on a distance between the support case and the proximate support cases within a virtual space assigned to the predicted problem category; determines relevance of each proximate support case to the support case; and outputs a resolution code for the support case based on the determined relevance of each proximate support case.
    Type: Application
    Filed: February 20, 2020
    Publication date: August 26, 2021
    Applicant: NETAPP, INC.
    Inventors: Vedavyas Bhamidipati, Prajwal V