This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Intuit, Inc.. Active years: 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: 2026
Title: Arpit Srivastava and Machine-Learning-Driven Document Innovation.
Introduction
Arpit Srivastava is an inventor based in Metuchen, New Jersey, whose work focuses on applying machine learning to electronic document creation and review. He is associated with Intuit Inc. His listed portfolio includes 2 patents.
Latest Patents
Srivastava’s latest patents address automated document creation and the user experience surrounding it.
“Automated Electronic Document Creation Through Machine Learning” describes a process that uses a machine-learning model to analyze a source document and a prompt, then identify relevant data. The system first searches stored data lexically and may use semantic search when the confidence score does not exceed a threshold. It then uses a matching stored item to populate an electronic document template.
“Dynamic User Interface Related to Automated Electronic Document Creation Through Machine Learning” focuses on helping users understand how an automatically created document relates to its source. The interface displays both documents on the same screen. When a user interacts with an item in the generated document, it can indicate the corresponding portion of the source document that informed that item.
Career Highlights
The inventions attributed to Srivastava combine machine learning, document processing, and interface design. Together, they describe ways to automate document preparation while making the relationship between generated content and its source more visible to users.
Collaborations
Srivastava’s listed coworkers include Saket Malviya and Shekhar Baggavalli Raju. His work is associated with Intuit Inc.
Conclusion
Arpit Srivastava’s patent work centers on machine-learning-based document automation and interfaces that help users trace generated content to its source.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile