Patents by Inventor Kabir Shukla

Kabir Shukla 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).

  • Publication number: 20230006444
    Abstract: A platform and components for an automated consumer retail utility marketplace are provided, including components for machine learning, components for gamification, and components for supporting a related consumer mobile application that enables improved visibility and control by a consumer over its interaction with energy markets.
    Type: Application
    Filed: July 22, 2022
    Publication date: January 5, 2023
    Applicant: Energywell Technology Licensing, LLC
    Inventors: Nicholas Jordan Bain, Gregory Craig, David Robert Cass, Luke Dallafior, Jason Rudder, Jeremy Zarowitz, Emily Cipes, Anwar Rohan, Bardia Keyvani, Kabir Shukla, Charles Cella
  • Patent number: 11398728
    Abstract: A platform and components for an automated consumer retail utility marketplace are provided, including components for machine learning, components for gamification, and components for supporting a related consumer mobile application that enables improved visibility and control by a consumer over its interaction with energy markets.
    Type: Grant
    Filed: August 13, 2019
    Date of Patent: July 26, 2022
    Assignee: ENERGYWELL TECHNOLOGY LICENSING, LLC
    Inventors: Nicholas Jordan Bain, Gregory Craig, David Robert Cass, Luke Dallafior, Jason Rudder, Jeremy Zarowitz, Emily Cipes, Anwar Rohan, Bardia Keyvani, Kabir Shukla, Charles Cella
  • Publication number: 20220043872
    Abstract: Provided are systems and methods that rely on machine learning to recommend employment opportunities. In one example, a method may include identifying, via execution of a first machine learning model, income data and spending data of a user, identifying, via execution of a second machine learning model, skill attributes of the user, determining, via execution of a third machine learning model, a recommended job for the user, where the determining comprises inputting the outputs from the first and second machine learning models into the third machine learning model, and displaying, via a user interface, a description of the recommended job.
    Type: Application
    Filed: October 21, 2021
    Publication date: February 10, 2022
    Inventors: Amanda Miguel, Winn Martin, Jeff Chelko, Marcel Crudele, Jasmine Hentschel, Antonea Nabors, Kabir Shukla, Tyler Howard
  • Publication number: 20210240787
    Abstract: Provided are systems and methods that rely on machine learning to recommend employment opportunities. In one example, a method may include identifying, via execution of a first machine learning model, income data and spending data of a user, identifying, via execution of a second machine learning model, skill attributes of the user, determining, via execution of a third machine learning model, a recommended job for the user, where the determining comprises inputting the outputs from the first and second machine learning models into the third machine learning model, and displaying, via a user interface, a description of the recommended job.
    Type: Application
    Filed: January 29, 2021
    Publication date: August 5, 2021
    Inventors: Amanda Miguel, Winn Martin, Jeff Chelko, Marcel Crudele, Jasmine Hentschel, Antonea Nabors, Kabir Shukla, Tyler Howard
  • Publication number: 20190372345
    Abstract: A platform and components for an automated consumer retail utility marketplace are provided, including components for machine learning, components for gamification, and components for supporting a related consumer mobile application that enables improved visibility and control by a consumer over its interaction with energy markets.
    Type: Application
    Filed: August 13, 2019
    Publication date: December 5, 2019
    Applicant: Griddy Holdings LLC
    Inventors: Nicholas Jordan Bain, Gregory Craig, David Robert Cass, Luke Dallafior, Jason Rudder, Jeremy Zarowitz, Emily Cipes, Anwar Rohan, Bardia Keyvani, Kabir Shukla, Charles Cella