Patents by Inventor Andrew Vlahutin

Andrew Vlahutin 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).

  • Apparatus for Determining Role Fitness While Eliminating Unwanted Bias
    Publication number: 20230222409
    Abstract: A multicore apparatus determines fitness of a candidate for a role. The apparatus includes a multicore system processing device, a plurality of parallel multicore graphics processing devices, a network interface device, a storage device, and a system interface bus. The network interface device provides remote connection to the multicore system processing device. The storage device stores training data including positive and negative examples. The positive examples represent candidates who would be invited to an interview, and the negative examples represent candidates who would not be invited to an interview. The positive and negative examples are used by the plurality of parallel multicore graphics processing devices to train a deep learning model, which is used by the multicore system processing device to determine fitness of the candidate for the role while eliminating unwanted bias.
    Type: Application
    Filed: March 8, 2023
    Publication date: July 13, 2023
    Applicant: Wynden Stark LLC dba GQR Global Markets
    Inventors: Jonathan Krohn, Vincent Petaccio, II, Andrew Vlahutin, Grant Beyleveld, Gabriel Rives-Corbett, Edward Donner
  • Apparatus for determining role fitness while eliminating unwanted bias
    Patent number: 11636411
    Abstract: A multicore apparatus determines fitness of a candidate for a role. The apparatus includes a multicore system processing device, a plurality of parallel multicore graphics processing devices, a network interface device, a storage device, and a system interface bus. The network interface device provides remote connection to the multicore system processing device. The storage device stores training data including positive and negative examples. The positive examples represent candidates who would be invited to an interview, and the negative examples represent candidates who would not be invited to an interview. The positive and negative examples are used by the plurality of parallel multicore graphics processing devices to train a deep learning model, which is used by the multicore system processing device to determine fitness of the candidate for the role while eliminating unwanted bias.
    Type: Grant
    Filed: July 31, 2020
    Date of Patent: April 25, 2023
    Assignee: Wynden Stark LLC
    Inventors: Jonathan Krohn, Vincent Petaccio, II, Andrew Vlahutin, Grant Beyleveld, Gabriel Rives-Corbett, Edward Donner
  • Apparatus for Determining Role Fitness While Eliminating Unwanted Bias
    Publication number: 20210049536
    Abstract: A multicore apparatus determines fitness of a candidate for a role. The apparatus includes a multicore system processing device, a plurality of parallel multicore graphics processing devices, a network interface device, a storage device, and a system interface bus. The network interface device provides remote connection to the multicore system processing device. The storage device stores training data including positive and negative examples. The positive examples represent candidates who would be invited to an interview, and the negative examples represent candidates who would not be invited to an interview. The positive and negative examples are used by the plurality of parallel multicore graphics processing devices to train a deep learning model, which is used by the multicore system processing device to determine fitness of the candidate for the role while eliminating unwanted bias.
    Type: Application
    Filed: July 31, 2020
    Publication date: February 18, 2021
    Applicant: Wynden Stark LLC dba GQR Global Markets
    Inventors: Jonathan Krohn, Vincent Petaccio II, Andrew Vlahutin, Grant Beyleveld, Gabriel Rives-Corbett, Edward Donner