This inventor holds 1 USPTO granted patent. 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: Vignesh Thirukazhukundram Subrahma: Innovator in Data-Driven Computation
Introduction
Vignesh Thirukazhukundram Subrahma is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of data-driven computation, particularly in the context of natural language processing. His innovative work has led to the development of techniques that enhance the automatic generation of insights from structured data.
Latest Patents
Vignesh holds a patent for "Techniques for data-driven computation to enable the automatic generation of data-driven insights in response to natural language queries." This patent outlines a method that includes obtaining structured data associated with a query and a plan that defines an analysis sequence for generating data-driven output. The process involves generating prompts for a language model to create executable code, executing that code, and producing computed results that inform data-driven outputs.
Career Highlights
Vignesh is currently employed at Intuit, Inc., where he applies his expertise in data-driven technologies. His work focuses on creating solutions that leverage structured data to provide meaningful insights in response to user queries. His innovative approach has positioned him as a key player in the field of computational data analysis.
Collaborations
Vignesh collaborates with talented individuals such as Jayanth Saimani and Suvrajit Manna. Together, they work on advancing the capabilities of data-driven computation and enhancing the user experience through innovative solutions.
Conclusion
Vignesh Thirukazhukundram Subrahma is a pioneering inventor whose work in data-driven computation is shaping the future of how we interact with structured data. His contributions are significant in the realm of natural language processing and computational analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile