Patents by Inventor Magesh Sripathy

Magesh Sripathy 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).

  • Artificial intelligence (AI) framework to identify object-relational mapping issues in real-time
    Patent number: 11829735
    Abstract: Various aspects of this disclosure relate to determining mapping issues in object relational mapping (ORM). An artificial intelligence (AI) model may be trained to identify errors in mapping between relational databases and objects during code compilation. Multiple AI models may be used, with different models being associated with different programming frameworks, thereby making this technique framework agnostic.
    Type: Grant
    Filed: July 14, 2021
    Date of Patent: November 28, 2023
    Assignee: Bank of America Corporation
    Inventors: Deepan Kanagaraj, Magesh Sripathy, Sachin Thakral, Vishnuvardhan Rao Regalla, Prasanna K, Suki Ramasamy
  • Artificial Intelligence (AI) Framework to Identify Object-Relational Mapping Issues in Real-Time
    Publication number: 20230018525
    Abstract: Various aspects of this disclosure relate to determining mapping issues in object relational mapping (ORM). An artificial intelligence (AI) model may be trained to identify errors in mapping between relational databases and objects during code compilation. Multiple AI models may be used, with different models being associated with different programming frameworks, thereby making this technique framework agnostic.
    Type: Application
    Filed: July 14, 2021
    Publication date: January 19, 2023
    Inventors: Deepan Kanagaraj, Magesh Sripathy, Sachin Thakral, Vishnuvardhan Rao Regalla, Prasanna K, Suki Ramasamy
  • Artificial Intelligence (AI) Framework to Identify Object-Relational Mapping Issues in Real-Time
    Publication number: 20230013748
    Abstract: Various aspects of this disclosure relate to determining mapping issues in object relational mapping (ORM). An artificial intelligence (AI) model may be trained to identify errors in mapping between relational databases and objects during code compilation. Multiple AI models may be used, with different models being associated with different programming frameworks, thereby making this technique framework agnostic.
    Type: Application
    Filed: July 14, 2021
    Publication date: January 19, 2023
    Inventors: Deepan Kanagaraj, Magesh Sripathy, Sachin Thakral, Vishnuvardhan Rao Regalla, Prasanna K, Suki Ramasamy