San Jose, CA, United States of America

Hyram Du


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: Hyram Du - Innovator in Digital Invoice Processing

Introduction

Hyram Du 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

Hyram Du holds a patent titled "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. Importantly, an entity extraction correction module allows for user feedback to override potential mappings, ensuring that the processed digital invoice reflects accurate user input. The final processed invoice is then delivered to an accounting module for appropriate handling.

Career Highlights

Hyram Du is currently employed at Appzen, Inc., where he continues to develop innovative solutions for financial processes. His work at Appzen has positioned him as a key player in the advancement of automated invoice processing technologies.

Collaborations

Hyram collaborates with talented individuals such as Edris Naderan and Parivesh Priye, contributing to a dynamic team focused on innovation in financial technology.

Conclusion

Hyram Du's contributions to digital invoice processing exemplify the impact of innovation in the financial sector. His patent showcases the potential of machine learning to enhance traditional processes, paving the way for more efficient and accurate financial operations.

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