This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Zenpayroll, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Zac Walberer
Introduction
Zac Walberer is an accomplished inventor based in Flagstaff, AZ (US). He has made significant contributions to the field of database management through his innovative patent. His work focuses on enhancing the efficiency of data modification processes using machine learning techniques.
Latest Patents
Zac holds a patent for "Machine-learned script generation for database modifications." This invention involves a central database system that accesses historical employee spreadsheets along with their modified versions. The system creates a training dataset from those spreadsheets to train a machine-learned model. The model is designed to analyze a target employee spreadsheet, identify a similar historical spreadsheet, and generate executable scripts based on data modifications performed on the identified historical spreadsheet. The set of scripts is then applied to the target spreadsheet to produce a modified version that mimics historical modifications. The modified spreadsheet is subsequently sent to an employee spreadsheet processing system for further processing. Zac has 1 patent to his name.
Career Highlights
Zac is currently employed at Zenpayroll, Inc., where he continues to develop innovative solutions for database management. His work has been instrumental in improving the efficiency and accuracy of data processing within the company.
Collaborations
Zac collaborates with talented coworkers, including Ian Smith and Amanda Aizuss, who contribute to the innovative environment at Zenpayroll, Inc.
Conclusion
Zac Walberer's contributions to the field of database management through his innovative patent demonstrate his commitment to advancing technology. His work not only enhances data processing but also showcases the potential of machine learning in practical applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
