San Francisco, CA, United States of America

Abhinav U Sharma

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Docusign, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Abhinav U Sharma. Retrieved from https://idiyas.com/inventor/abhinav-u-sharma

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Abhinav U Sharma and His Patent in AI-Powered Document Search.

Introduction

Abhinav U Sharma is an inventor based in San Francisco, California. His patent work concerns artificial intelligence and machine learning methods for finding and summarizing information in electronic documents.

Latest Patents

Sharma is associated with 1 patent, titled “Semantic Search and Summarization for Electronic Documents.” The invention describes an AI platform that can search an electronic document or a collection of documents for specified types of information. Using AI and machine learning within an electronic document management system, the platform can also summarize relevant information in natural language.

Career Highlights

Sharma works at DocuSign, Inc. His patent reflects work on applying AI to document management, semantic search, and automated summarization.

Collaborations

The provided information identifies Casey Hudetz and Keenan Wells as Sharma’s coworkers. It does not specify their roles in the patent or whether they collaborated on the invention.

Conclusion

Abhinav U Sharma’s patent focuses on making electronic document collections easier to search and understand through AI-powered semantic retrieval and natural-language summaries.

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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