This inventor holds 5 USPTO granted patents and 5 published patent applications. Top assignee: Highradius Corporation. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Anupam Kunwar: Innovator in Financial Technology
Introduction
Anupam Kunwar is a prominent inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of financial technology through his innovative patents. With a total of 5 patents, Anupam is recognized for his expertise in machine learning applications that enhance financial transaction processes.
Latest Patents
Anupam's latest patents include a machine learning (ML)-based system and method for predicting financial transaction patterns. This system involves receiving invoice data from customers and generating granularity level instances based on various invoice data attributes. It computes payment frequency bucket features and assigns invoices to clusters, categorizing customers as weekly, monthly, or annual payers. Additionally, he has developed a machine learning-based system for generating a DSO impact score for financial transactions. This system calculates DSO components and generates an impact score based on historical customer information.
Career Highlights
Anupam currently works at Highradius Corporation, where he applies his innovative ideas to improve financial transaction systems. His work focuses on leveraging machine learning to create efficient solutions for businesses.
Collaborations
Anupam collaborates with talented professionals such as Apoorva Shrivastava and Sayanta Mukherjee, contributing to a dynamic work environment that fosters innovation.
Conclusion
Anupam Kunwar's contributions to financial technology through his patents and work at Highradius Corporation highlight his role as a leading inventor in the industry. His innovative approaches to machine learning are paving the way for advancements in financial transaction processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile