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 Luis Serazo in Machine Learning
Introduction
Luis Serazo is an innovative inventor based in New York, NY (US). He has made significant contributions to the field of machine learning, particularly in the area of database modifications. His work focuses on enhancing the efficiency of data processing through advanced algorithms.
Latest Patents
Luis 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 analyzes a target employee spreadsheet, identifies a similar historical spreadsheet, and generates executable scripts based on data modifications performed on the identified historical spreadsheet. The modified spreadsheet is then sent to an employee spreadsheet processing system for further processing. This innovative approach streamlines the process of data modification and enhances accuracy.
Career Highlights
Luis Serazo is currently employed at Zenpayroll, Inc., where he applies his expertise in machine learning to develop solutions that improve data management. His work has been instrumental in advancing the capabilities of the company's database systems.
Collaborations
Luis collaborates with talented coworkers, including Ian Smith and Amanda Aizuss, who contribute to the innovative environment at Zenpayroll, Inc. Their teamwork fosters creativity and drives the development of cutting-edge technologies.
Conclusion
Luis Serazo's contributions to machine learning and database modifications exemplify the impact of innovation in technology. His patent and work at Zenpayroll, Inc. highlight the importance of leveraging historical data to enhance modern data processing systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
