Patents by Inventor Robin Baldeo

Robin Baldeo 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).

  • Early warning for issue validation failure using machine learning model
    Patent number: 12725105
    Abstract: A computing system receives issue data for a plurality of issues from a risk management system. The issue data for each respective issue of the plurality of issues includes an issue identifier. The computing system generates issue validation risk scores for the plurality of issues. An issue validation risk score for the respective issue indicates a predicted probability that a resolution of the respective issue will fail validation within a fixed period of time. The computing system generates a warning message for at least the respective issue of the plurality of issues based on the issue validation risk score for the respective issue being greater than a threshold. The computing system revises parameters of the at least one machine learning model based on validation failure outcomes associated with the plurality of issues.
    Type: Grant
    Filed: June 30, 2023
    Date of Patent: September 1, 2026
    Assignee: Wells Fargo Bank, N.A.
    Inventors: Michael Goodwin, Xiangchen Huo, Antonio Iniguez, Brian Karp, Jody Vandever, Robin Baldeo, Sooji Ha, Efa Shukarey, Prashamsh Takkalapally, Tsai-Hsuan Tsai
  • Early warning for issue due date revision using machine learning model
    Patent number: 12699942
    Abstract: A computing system receives issue data for a plurality of issues from a risk management system. The issue data for each respective issue of the plurality of issues includes an issue identifier and a due date for resolution of the respective issue. The computing system generates due date revision risk scores for the plurality of issues. A due date revision risk score for the respective issue indicates a predicted probability that the due date for resolution of the respective issue will need revision within a fixed period of time. The computing system generates a warning message for at least the respective issue of the plurality of issues based on the due date revision risk score for the respective issue being greater than a threshold. The computing system revises parameters of the at least one machine learning model based on due date revision outcomes associated with the plurality of issues.
    Type: Grant
    Filed: June 30, 2023
    Date of Patent: August 4, 2026
    Assignee: Wells Fargo Bank, N.A.
    Inventors: Michael Goodwin, Xiangchen Huo, Antonio Iniguez, Brian Karp, Jody Vandever, Robin Baldeo, Sooji Ha, Efa Shukarey, Prashamsh Takkalapally, Tsai-Hsuan Tsai
  • EARLY WARNING FOR ISSUE DUE DATE REVISION USING MACHINE LEARNING MODEL
    Publication number: 20250005490
    Abstract: A computing system receives issue data for a plurality of issues from a risk management system. The issue data for each respective issue of the plurality of issues includes an issue identifier and a due date for resolution of the respective issue. The computing system generates due date revision risk scores for the plurality of issues. A due date revision risk score for the respective issue indicates a predicted probability that the due date for resolution of the respective issue will need revision within a fixed period of time. The computing system generates a warning message for at least the respective issue of the plurality of issues based on the due date revision risk score for the respective issue being greater than a threshold. The computing system revises parameters of the at least one machine learning model based on due date revision outcomes associated with the plurality of issues.
    Type: Application
    Filed: June 30, 2023
    Publication date: January 2, 2025
    Inventors: Michael Goodwin, Xiangchen Huo, Antonio Iniguez, Brian Karp, Jody Vandever, Robin Baldeo, Sooji Ha, Efa Shukarey, Prashamsh Takkalapally, Tsai-Hsuan Tsai
  • EARLY WARNING FOR ISSUE VALIDATION FAILURE USING MACHINE LEARNING MODEL
    Publication number: 20250005491
    Abstract: A computing system receives issue data for a plurality of issues from a risk management system. The issue data for each respective issue of the plurality of issues includes an issue identifier. The computing system generates issue validation risk scores for the plurality of issues. An issue validation risk score for the respective issue indicates a predicted probability that a resolution of the respective issue will fail validation within a fixed period of time. The computing system generates a warning message for at least the respective issue of the plurality of issues based on the issue validation risk score for the respective issue being greater than a threshold. The computing system revises parameters of the at least one machine learning model based on validation failure outcomes associated with the plurality of issues.
    Type: Application
    Filed: June 30, 2023
    Publication date: January 2, 2025
    Inventors: Michael Goodwin, Xiangchen Huo, Antonio Iniguez, Brian Karp, Jody Vandever, Robin Baldeo, Sooji Ha, Efa Shukarey, Prashamsh Takkalapally, Tsai-Hsuan Tsai