San Jose, CA, United States of America

Arghyadeep Giri


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Arghyadeep Giri: Innovator in Digital Invoice Processing

Introduction

Arghyadeep Giri is a notable 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 processing digital invoices using advanced machine learning techniques.

Latest Patents

Arghyadeep Giri 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 includes an image processing module that ingests digital invoices and an evaluation module that derives metrics from them. A semantic document processing module forms entity extracts from the invoices, which can be mapped to trained machine learning model elements. Importantly, 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

Arghyadeep Giri is currently employed at Appzen, Inc., where he applies his expertise in machine learning and digital processing. His innovative approach has positioned him as a key player in the development of technologies that streamline financial processes.

Collaborations

He collaborates with talented coworkers, including Edris Naderan and Parivesh Priye, who contribute to the innovative environment at Appzen, Inc. Their combined efforts enhance the company's ability to deliver cutting-edge solutions in digital invoice processing.

Conclusion

Arghyadeep Giri's contributions to the field of digital invoice processing exemplify the impact of innovation in technology. His patent reflects a commitment to improving financial workflows through advanced machine learning techniques.

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