Patents by Inventor Pradeepta Ranjan Choudhury

Pradeepta Ranjan Choudhury 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).

  • Framework for codes as a service management and deployment
    Patent number: 11842180
    Abstract: A method comprises receiving data corresponding to execution of one or more applications, accessing at least one function from a codes as a service source, and training the at least one function based, at least in part, on one or more parameters, wherein the training is performed using a first portion of the data. In the method, a deployment version of the at least one function is generated based, at least in part, on the training, and the deployment version of the at least one function is applied to a second portion of the data to perform at least one service.
    Type: Grant
    Filed: January 14, 2022
    Date of Patent: December 12, 2023
    Assignee: Dell Products L.P.
    Inventors: Jatin Thakkar, Manikandan Pammal Rathinavelu, Pradeepta Ranjan Choudhury, Matthew C. Frank, Sabu K. Syed, Adam Mahram, Khadeer Ahmed Shaikh, Tarun Gupta, Sejal Mohata, Hung Dinh
  • Enterprise taxonomy management framework for digital content marketing platform
    Patent number: 11823245
    Abstract: A method includes generating a model for a content taxonomy using one or more machine learning (ML) techniques. The model comprises a plurality of metadata tags for electronic content. In the method, a plurality of electronic content items are received from a plurality of content management systems, and are analyzed using the one or more ML techniques. The method also includes assigning one or more of the plurality of metadata tags to each of the plurality of electronic content items based on the analysis, and transmitting to the plurality of content management systems via one or more application programming interfaces, a plurality of recommendations comprising which of the plurality metadata tags to apply to the plurality of electronic content items.
    Type: Grant
    Filed: June 30, 2020
    Date of Patent: November 21, 2023
    Assignee: Dell Products L.P.
    Inventors: Venkat S. Ramachandran, Naga Kalyan Kambapu, Jonathan Cornish Byerly, Nikhil Reddy Kota, Pradeepta Ranjan Choudhury, Hung Dinh, Kannappan Ramu
  • FRAMEWORK FOR CODES AS A SERVICE MANAGEMENT AND DEPLOYMENT
    Publication number: 20230229411
    Abstract: A method comprises receiving data corresponding to execution of one or more applications, accessing at least one function from a codes as a service source, and training the at least one function based, at least in part, on one or more parameters, wherein the training is performed using a first portion of the data. In the method, a deployment version of the at least one function is generated based, at least in part, on the training, and the deployment version of the at least one function is applied to a second portion of the data to perform at least one service.
    Type: Application
    Filed: January 14, 2022
    Publication date: July 20, 2023
    Inventors: Jatin Thakkar, Manikandan Pammal Rathinavelu, Pradeepta Ranjan Choudhury, Matthew C. Frank, Sabu K. Syed, Adam Mahram, Khadeer Ahmed Shaikh, Tarun Gupta, Sejal Mohata, Hung Dinh
  • Device manufacturing cycle time reduction using machine learning techniques
    Patent number: 11216911
    Abstract: Methods, apparatus, and processor-readable storage media for device manufacturing cycle time reduction using machine learning techniques are provided herein. An example computer-implemented method includes obtaining video input related to one or more manufacturing resources in a manufacturing environment; determining availability status information for at least one of the one or more manufacturing resources by applying one or more machine learning models to the obtained video input; and outputting the determined availability status information to at least one user device associated with the manufacturing environment.
    Type: Grant
    Filed: October 31, 2019
    Date of Patent: January 4, 2022
    Assignee: Dell Products L.P.
    Inventors: Hung T. Dinh, Rajesh Krishnan, Vijaya P. Sekhar, Sabu K. Syed, Geetha Venkatesan, Sethukarasi Sockalingam, Pradeepta Ranjan Choudhury, Abhijit Mishra, Kannappan Ramu, Jatin Kamlesh Thakkar
  • ENTERPRISE TAXONOMY MANAGEMENT FRAMEWORK FOR DIGITAL CONTENT MARKETING PLATFORM
    Publication number: 20210406977
    Abstract: A method includes generating a model for a content taxonomy using one or more machine learning (ML) techniques. The model comprises a plurality of metadata tags for electronic content. In the method, a plurality of electronic content items are received from a plurality of content management systems, and are analyzed using the one or more ML techniques. The method also includes assigning one or more of the plurality of metadata tags to each of the plurality of electronic content items based on the analysis, and transmitting to the plurality of content management systems via one or more application programming interfaces, a plurality of recommendations comprising which of the plurality metadata tags to apply to the plurality of electronic content items.
    Type: Application
    Filed: June 30, 2020
    Publication date: December 30, 2021
    Inventors: Venkat S. Ramachandran, Naga Kalyan Kambapu, Jonathan Cornish Byerly, Nikhil Reddy Kota, Pradeepta Ranjan Choudhury, Hung Dinh, Kannappan Ramu
  • Device Manufacturing Cycle Time Reduction Using Machine Learning Techniques
    Publication number: 20210133930
    Abstract: Methods, apparatus, and processor-readable storage media for device manufacturing cycle time reduction using machine learning techniques are provided herein. An example computer-implemented method includes obtaining video input related to one or more manufacturing resources in a manufacturing environment; determining availability status information for at least one of the one or more manufacturing resources by applying one or more machine learning models to the obtained video input; and outputting the determined availability status information to at least one user device associated with the manufacturing environment.
    Type: Application
    Filed: October 31, 2019
    Publication date: May 6, 2021
    Inventors: Hung T. Dinh, Rajesh Krishnan, Vijaya P. Sekhar, Sabu K. Syed, Geetha Venkatesan, Sethukarasi Sockalingam, Pradeepta Ranjan Choudhury, Abhijit Mishra, Kannappan Ramu, Jatin Kamlesh Thakkar