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 Nieves Morán Silva
Introduction
Nieves Morán Silva is an accomplished inventor based in Mexico City, MX. 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
Nieves 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 generated scripts are then applied to the target spreadsheet to produce a modified version that mimics historical changes. This modified spreadsheet is subsequently sent to an employee spreadsheet processing system for further processing. Nieves has 1 patent to his name.
Career Highlights
Nieves 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 of data processing within the company.
Collaborations
Some of Nieves' coworkers include Ian Smith and Amanda Aizuss, who contribute to the collaborative environment at Zenpayroll, Inc. Their teamwork fosters innovation and drives the development of cutting-edge technologies.
Conclusion
Nieves Morán Silva'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 efficiency 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
