Parivesh Priye

Title: Innovations of Parivesh Priye

Introduction

Parivesh Priye is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of digital invoice processing through his innovative patent. His work focuses on enhancing the efficiency and accuracy of invoice management systems.

Latest Patents

Parivesh Priye holds a patent for an "Apparatus and method for processing digital invoices with invoice entity feedback override of trained machine learning models." This invention involves a non-transitory computer-readable storage medium that contains instructions executed by a processor. The system utilizes an image processing module to ingest digital invoices and an evaluation module to derive metrics from them. A semantic document processing module forms entity extracts from the invoices, which can be mapped to trained machine learning model elements. Notably, an entity extraction correction module allows for user feedback to override potential mappings, resulting in a processed digital invoice that reflects user input. This processed invoice is then delivered to an accounting module for final disposition.

Career Highlights

Parivesh Priye is currently employed at Appzen, Inc., where he continues to innovate in the realm of financial technology. His work has been instrumental in developing solutions that streamline invoice processing and improve overall accuracy.

Collaborations

Throughout his career, Parivesh has collaborated with talented individuals such as Edris Naderan and Amrit Singhal. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Parivesh Priye's contributions to the field of digital invoice processing exemplify the impact of innovative thinking in technology. His patent showcases the potential for machine learning to enhance traditional processes, paving the way for more efficient financial management solutions.