Bengaluru, India

Khushboo Gupta

This inventor holds 1 USPTO granted patent. Top assignee: Intuit, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Khushboo Gupta. Retrieved from https://idiyas.com/inventor/khushboo-gupta-jil6pv12

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Khushboo Gupta: Innovator in Data-Driven Computation

Introduction

Khushboo Gupta is a prominent inventor based in Bengaluru, India. She has made significant contributions to the field of data-driven computation, particularly in the area of natural language processing. Her innovative work has led to the development of techniques that enable the automatic generation of insights in response to natural language queries.

Latest Patents

Khushboo Gupta holds 1 patent for her invention titled "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 to generate insightful data-driven outputs.

Career Highlights

Khushboo currently works at Intuit, Inc., where she applies her expertise in data-driven technologies. Her role involves collaborating with other talented professionals to enhance the capabilities of data analysis and computation.

Collaborations

Some of her notable coworkers include Jayanth Saimani and Vignesh Thirukazhukundram Subrahma. Their collaborative efforts contribute to the innovative environment at Intuit, Inc., fostering advancements in technology.

Conclusion

Khushboo Gupta's work exemplifies the intersection of technology and innovation in data-driven computation. Her contributions are paving the way for more efficient and insightful data analysis methods.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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