Mountain View, CA, United States of America

Aashish Dhamdhere

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aashish Dhamdhere. Retrieved from https://idiyas.com/inventor/aashish-dhamdhere

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

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Aashish Dhamdhere: Inventor of a Computationally Efficient Search Filter.

Introduction

Aashish Dhamdhere is an inventor based in Mountain View, California, and works at Intuit, Inc. His patent work addresses computationally efficient ways to refine search results using regular expressions and language-model prompts.

Latest Patents

Dhamdhere is named on 1 patent, titled “Computationally Efficient Search Filter.” The invention describes receiving results for a query and interweaving the execution of regular expressions with prompts processed by a language model. This process removes negative results and continues until a stop condition is met, producing a final subset of positive results that is then returned.

Career Highlights

Dhamdhere’s listed patent highlights work at the intersection of search filtering and language-model processing. The method combines processor-executed regular expressions with prompts handled by a language model running on the processor.

Collaborations

Sophia Cui is identified as Dhamdhere’s coworker. The available information does not specify her role in the patent or whether she collaborated on the invention.

Conclusion

Aashish Dhamdhere’s patent describes a search-filtering approach that combines regular expressions and language-model prompts to efficiently identify relevant results.

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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