San Francisco, CA, United States of America

Prity Kumari

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Zenpayroll, Inc.. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Prity Kumari: Innovator in Machine-Learned Script Generation

Introduction

Prity Kumari is an accomplished inventor based in San Francisco, CA. She has made significant contributions to the field of database management through her innovative patent. Her work focuses on enhancing the efficiency of database modifications using machine learning techniques.

Latest Patents

Prity 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 set of scripts is then applied to the target spreadsheet to produce a modified version, mimicking historical modifications. The modified spreadsheet is subsequently sent to an employee spreadsheet processing system for further processing. Prity has 1 patent to her name.

Career Highlights

Prity Kumari is currently employed at Zenpayroll, Inc., where she continues to develop innovative solutions for database management. Her expertise in machine learning and data processing has positioned her as a valuable asset to her team.

Collaborations

Prity collaborates with talented coworkers, including Ian Smith and Amanda Aizuss, who contribute to her projects and enhance the overall productivity of their team.

Conclusion

Prity Kumari is a pioneering inventor whose work in machine-learned script generation is transforming the way database modifications are handled. Her contributions are paving the way for more efficient data management solutions in the industry.

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