This inventor holds 1 USPTO granted patent. Top assignee: Intuit, Inc.. Active years: 2025.
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
Title: Anuj Kumar - Innovator in Machine Learning Data Structures
Introduction
Anuj Kumar is a notable inventor based in San Diego, California. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on the merging of dissimilar data structures, which is crucial for generating effective machine learning inputs.
Latest Patents
Anuj Kumar holds a patent titled "Merging of dissimilar data structures having dissimilar data for generation of machine learning input." This patent describes a method that involves receiving two data structures that store data in different formats. The data is associated with a key, and despite the dissimilarities, they are related. A data conversion controller is utilized to create a new data structure that combines both data formats. Furthermore, a vector generation controller is applied to this new structure to produce a vector that includes features representing the original data. This process ultimately leads to predictions generated by a trained supervised machine learning model.
Career Highlights
Anuj Kumar is currently employed at Intuit, Inc., where he continues to develop innovative solutions in the realm of data processing and machine learning. His expertise in merging data structures has positioned him as a valuable asset to his team and the company.
Collaborations
Anuj collaborates with Raymond C Chan, who is also a part of his team at Intuit, Inc. Their combined efforts contribute to advancing the company's technological capabilities.
Conclusion
Anuj Kumar's work exemplifies the intersection of innovation and technology in machine learning. His patent on merging dissimilar data structures showcases his commitment to enhancing data processing methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile