This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Insight Direct USA, 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: Dilbagh Singh Dhindsa: Inventor in Language-Model Document Systems
Introduction
Dilbagh Singh Dhindsa is an inventor based in Pune, India. His patent work focuses on applying large language models to document generation and compliance evaluation. He is associated with Insight Direct USA, Inc. His listed portfolio includes 2 patents.
Latest Patents
Dhindsa’s latest patents address two related challenges in working with complex documents.
“Generating Interdependent Document Chunks Using Large Language Models” describes a method for creating a document as multiple connected text chunks. The system uses topical information and examples suited to each chunk’s purpose to guide a large language model in generating the document’s sections.
“Document Compliance Evaluation Using a Large Language Model” describes a method for assessing whether a document meets compliance requirements. It separates the document into chunks, identifies standard and nonstandard chunk types, and evaluates them using template similarity or a hallucination score to formulate a compliance score.
Career Highlights
Dhindsa’s disclosed inventions bring language-model capabilities to structured document workflows. One supports the generation of related sections, while the other evaluates document content for compliance. Together, they illustrate an approach to using artificial intelligence in both document creation and review.
Collaborations
Dhindsa is associated with Insight Direct USA, Inc. His listed coworker is Catherine Jean Snell. The available information identifies this professional association but does not specify their roles or the nature of their collaboration.
Conclusion
Dilbagh Singh Dhindsa’s patent portfolio centers on using large language models to generate interdependent document content and evaluate documents for compliance.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile