Patents by Inventor Maxim Dorofiyenko

Maxim Dorofiyenko 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).

  • Patent number: 12381832
    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for dynamically controlling requestor device queues by monitoring and utilizing the throughput rate of matched provider devices and requestor devices. In some embodiments, the disclosed systems determine throughput rate of matched provider devices and requestor devices in real-time and/or predicts throughput rate utilizing historical features of a particular location. The disclosed systems can generate and provide queue request notifications to requestor devices based on a throughput rate at the location. Specifically, the disclosed systems can monitor a current queue status over time, compare the queue status to a queue threshold, and dynamically generate queue request notifications that reflects throughput-based queue modifiers as the current queue status approaches the queue threshold.
    Type: Grant
    Filed: June 20, 2024
    Date of Patent: August 5, 2025
    Assignee: Lyft, Inc.
    Inventors: Maxim Dorofiyenko, Nir Even Chen, Dean Israel Grosbard, Jeremy Alexander Karp, Manu Singh Sabherwal, Lily Sierra
  • Publication number: 20240340251
    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for dynamically controlling requestor device queues by monitoring and utilizing the throughput rate of matched provider devices and requestor devices. In some embodiments, the disclosed systems determine throughput rate of matched provider devices and requestor devices in real-time and/or predicts throughput rate utilizing historical features of a particular location. The disclosed systems can generate and provide queue request notifications to requestor devices based on a throughput rate at the location. Specifically, the disclosed systems can monitor a current queue status over time, compare the queue status to a queue threshold, and dynamically generate queue request notifications that reflects throughput-based queue modifiers as the current queue status approaches the queue threshold.
    Type: Application
    Filed: June 20, 2024
    Publication date: October 10, 2024
    Inventors: Maxim Dorofiyenko, Nir Even Chen, Dean Israel Grosbard, Jeremy Alexander Karp, Manu Singh Sabherwal, Lily Sierra
  • Patent number: 12028266
    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for dynamically controlling requestor device queues by monitoring and utilizing the throughput rate of matched provider devices and requestor devices. In some embodiments, the disclosed systems determine throughput rate of matched provider devices and requestor devices in real-time and/or predicts throughput rate utilizing historical features of a particular location. The disclosed systems can generate and provide queue request notifications to requestor devices based on a throughput rate at the location. Specifically, the disclosed systems can monitor a current queue status over time, compare the queue status to a queue threshold, and dynamically generate queue request notifications that reflects throughput-based queue modifiers as the current queue status approaches the queue threshold.
    Type: Grant
    Filed: March 31, 2020
    Date of Patent: July 2, 2024
    Assignee: Lyft, Inc.
    Inventors: Maxim Dorofiyenko, Nir Even Chen, Dean Israel Grosbard, Jeremy Alexander Karp, Manu Singh Sabherwal, Lily Sierra
  • Publication number: 20210306280
    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for dynamically controlling requestor device queues by monitoring and utilizing the throughput rate of matched provider devices and requestor devices. In some embodiments, the disclosed systems determine throughput rate of matched provider devices and requestor devices in real-time and/or predicts throughput rate utilizing historical features of a particular location. The disclosed systems can generate and provide queue request notifications to requestor devices based on a throughput rate at the location. Specifically, the disclosed systems can monitor a current queue status over time, compare the queue status to a queue threshold, and dynamically generate queue request notifications that reflects throughput-based queue modifiers as the current queue status approaches the queue threshold.
    Type: Application
    Filed: March 31, 2020
    Publication date: September 30, 2021
    Inventors: Maxim Dorofiyenko, Nir Even Chen, Dean Israel Grosbard, Jeremy Alexander Karp, Manu Singh Sabherwal, Lily Sierra
  • Publication number: 20210295224
    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently pre-dispatching candidate provider devices to a geographic area by utilizing a pre-dispatch model accounting for forecasted transportation requests. For example, the disclosed systems can determine how many candidate provider devices to pre-dispatch to a geographic area based on a variety of inputs, including a projected requestor device queue, a projected provider device queue, and/or a queue capacity. In particular, the disclosed systems can utilize a look-ahead model and a look-behind model to compare a queue capacity with projected provider device queues corresponding to estimated times of arrival for one or more candidate provider devices. If the projected provider device queues comport with the queue capacity according to both the look-ahead model and the look-behind model, the disclosed systems can proceed with pre-dispatching the candidate provider device to the geographic area.
    Type: Application
    Filed: March 23, 2020
    Publication date: September 23, 2021
    Inventors: Maxim Dorofiyenko, Nir Even Chen, John Stevens Markevitch, Mohammad Ali Motie Share, Allen Lamson Nguyen, Lily Sierra