Patents by Inventor Zac Walberer

Zac Walberer 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).

  • Publication number: 20260111440
    Abstract: A system trains a machine-learned model using historical employee spreadsheets and historical modification operations applied to those spreadsheets. The model determines similarity scores between a received employee spreadsheet and each historical employee spreadsheet, and identifies a set of historical employee spreadsheets having highest similarity scores. Based on data modification operations associated with the identified set, the model generates executable scripts configured to apply the data modification operations to the employee spreadsheet. Upon receiving a target employee spreadsheet, the system applies the machine-learned model to generate a target set of executable scripts and executes the scripts on the target employee spreadsheet to produce a target modified spreadsheet. The target modified spreadsheet is transmitted to an employee spreadsheet processing system for further processing.
    Type: Application
    Filed: December 19, 2025
    Publication date: April 23, 2026
    Inventors: Ian Smith, Amanda Aizuss, Cody Sehl, Luis Serazo, Nieves Morán Silva, Ayush Saraswat, Zac Walberer, Prity Kumari, Andrew Collins Bessey
  • Patent number: 12524433
    Abstract: A central database system accesses historical employee spreadsheets along with their modified versions, which have undergone data modification operations. The system creates a training dataset from those spreadsheets to train a machine-learned model. The model is configured to analyze a target employee spreadsheet, identify a historical spreadsheet similar to it, and generate executable scripts based on data modifications performed on the identified historical spreadsheet. The set of scripts is applied to the target spreadsheet to produce a target modified spreadsheet, mimicking historical modification. The modified spreadsheet is sent to an employee spreadsheet processing system for further processing.
    Type: Grant
    Filed: March 8, 2024
    Date of Patent: January 13, 2026
    Assignee: ZenPayroll, Inc.
    Inventors: Ian Smith, Amanda Aizuss, Cody Sehl, Luis Serazo, Nieves Morán Silva, Ayush Saraswat, Zac Walberer, Prity Kumari, Andrew Collins Bessey
  • Publication number: 20250284706
    Abstract: A central database system accesses historical employee spreadsheets along with their modified versions, which have undergone data modification operations. The system creates a training dataset from those spreadsheets to train a machine-learned model. The model is configured to analyze a target employee spreadsheet, identify a historical spreadsheet similar to it, and generate executable scripts based on data modifications performed on the identified historical spreadsheet. The set of scripts is applied to the target spreadsheet to produce a target modified spreadsheet, mimicking historical modification. The modified spreadsheet is sent to an employee spreadsheet processing system for further processing.
    Type: Application
    Filed: March 8, 2024
    Publication date: September 11, 2025
    Inventors: Ian Smith, Amanda Aizuss, Cody Sehl, Luis Serazo, Nieves Morán Silva, Ayush Saraswat, Zac Walberer, Prity Kumari, Andrew Collins Bessey