Patents by Inventor Konstantin Getmanchuk

Konstantin Getmanchuk 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).

  • Methods and apparatus for constructing machine learning models to process user data and provide advance access to payments
    Patent number: 11908022
    Abstract: Devices, systems, and methods herein relate to generating a machine learning model for providing access to earned income. In some embodiments, an apparatus includes a memory and a processor. The processor may be configured to receive calibration datasets including (1) historical time data indicating time worked by a set of users and (2) historical earnings data indicating earnings made by the set of users. The processor may be configured to construct, based on the calibration datasets, a model for identifying anomalous data. The processor may be configured to receive, from a compute device associated with an entity, raw data for a current time period. The processor may be configured to process the raw data by removing anomalous data to produce processed data. The processor may be configured to determine an available balance for each user from the set of users based on the processed data.
    Type: Grant
    Filed: August 30, 2022
    Date of Patent: February 20, 2024
    Assignee: Daily Pay, Inc.
    Inventors: Jason Lee, Robert Louis Law, II, Konstantin Getmanchuk
  • Methods and apparatus for constructing machine learning models to process user data and provide advance access to payments
    Patent number: 11443392
    Abstract: Devices, systems, and methods herein relate to generating a machine learning model for providing access to earned income. In some embodiments, an apparatus includes a memory and a processor. The processor may be configured to receive calibration datasets including (1) historical time data indicating time worked by a set of users and (2) historical earnings data indicating earnings made by the set of users. The processor may be configured to construct, based on the calibration datasets, a model for identifying anomalous data. The processor may be configured to receive, from a compute device associated with an entity, raw data for a current time period. The processor may be configured to process the raw data by removing anomalous data to produce processed data. The processor may be configured to determine an available balance for each user from the set of users based on the processed data.
    Type: Grant
    Filed: August 13, 2021
    Date of Patent: September 13, 2022
    Assignee: DailyPay, Inc.
    Inventors: Jason Lee, Robert Louis Law, II, Konstantin Getmanchuk
  • Methods and apparatus for constructing machine learning models to process user data and provide advance access to payments
    Patent number: 11094020
    Abstract: Devices, systems, and methods herein relate to generating a machine learning model for providing access to earned income. In some embodiments, an apparatus includes a memory and a processor. The processor may be configured to receive calibration datasets including (1) historical time data indicating time worked by a set of users and (2) historical earnings data indicating earnings made by the set of users. The processor may be configured to construct, based on the calibration datasets, a model for identifying anomalous data. The processor may be configured to receive, from a compute device associated with an entity, raw data for a current time period. The processor may be configured to process the raw data by removing anomalous data to produce processed data. The processor may be configured to determine an available balance for each user from the set of users based on the processed data.
    Type: Grant
    Filed: February 1, 2019
    Date of Patent: August 17, 2021
    Assignee: DailyPay, Inc.
    Inventors: Jason Lee, Robert Louis Law, II, Konstantin Getmanchuk