Patents by Inventor Daniel Jeng

Daniel Jeng 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).

  • Payment Authorization via Machine Learning
    Publication number: 20260119987
    Abstract: Computing systems and methods can use machine learning to improve the authorization of payments by payment systems. Specifically, contrary to existing payment authorization approaches which are static in nature, example aspects of the present disclosure are directed to machine learning systems which enable the dynamic and real-time optimization of one or more variable request parameters associated with a payment authorization request. Specifically, example computing systems described herein can employ one or more machine-learned models to assist in selection of a particular payment processor to which the authorization request is routed, optimization of one or more variable message parameters included in the authorization message (e.g.
    Type: Application
    Filed: August 5, 2025
    Publication date: April 30, 2026
    Inventors: Mateusz Waldemar Mach, Mark Damien Walick, Brian Wesley Goldman, John P. Kozura, Daniel Jeng, Paul Copenhaver, Ridhima Kedia, Jett Wilson Rink, Sarat Chandra Tummala
  • Payment authorization via machine learning
    Patent number: 12400141
    Abstract: Computing systems and methods can use machine learning to improve the authorization of payments by payment systems. Specifically, contrary to existing payment authorization approaches which are static in nature, example aspects of the present disclosure are directed to machine learning systems which enable the dynamic and real-time optimization of one or more variable request parameters associated with a payment authorization request. Specifically, example computing systems described herein can employ one or more machine-learned models to assist in selection of a particular payment processor to which the authorization request is routed, optimization of one or more variable message parameters included in the authorization message (e.g.
    Type: Grant
    Filed: October 23, 2020
    Date of Patent: August 26, 2025
    Assignee: GOOGLE LLC
    Inventors: Mateusz Waldemar Mach, Mark Damien Walick, Brian Wesley Goldman, John P. Kozura, Daniel Jeng, Paul Copenhaver, Ridhima Kedia, Jett Wilson Rink, Sarat Chandra Tummala
  • Payment Authorization via Machine Learning
    Publication number: 20210125179
    Abstract: Computing systems and methods can use machine learning to improve the authorization of payments by payment systems. Specifically, contrary to existing payment authorization approaches which are static in nature, example aspects of the present disclosure are directed to machine learning systems which enable the dynamic and real-time optimization of one or more variable request parameters associated with a payment authorization request. Specifically, example computing systems described herein can employ one or more machine-learned models to assist in selection of a particular payment processor to which the authorization request is routed, optimization of one or more variable message parameters included in the authorization message (e.g.
    Type: Application
    Filed: October 23, 2020
    Publication date: April 29, 2021
    Inventors: Mateusz Waldemar Mach, Mark Damien Walick, Brian Wesley Goldman, John P. Kozura, Daniel Jeng, Paul Copenhaver, Ridhima Kedia, Jett Wilson Rink, Sarat Chandra Tummala