San Francisco, CA, United States of America

Alexey Zakhvatov

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Docusign, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alexey Zakhvatov. Retrieved from https://idiyas.com/inventor/alexey-zakhvatov

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

Calculating rank
USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 6.8

ph-index = 1


Company Filing History:


Years Active: 2026

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3 patents (USPTO):Explore Patents

Title: Alexey Zakhvatov: Inventor Advancing AI and Document Processing

Introduction

Alexey Zakhvatov is an inventor based in San Francisco, California. His work includes inventions involving large language models, generative artificial intelligence, and document processing. He is associated with Docusign, Inc., and holds 3 patents.

Latest Patents

Zakhvatov’s recent patent work includes “Fine Tuning Large Language Models,” which describes methods and systems for training a large language model using labels generated from sampled documents and extracted portions of other documents. The approach uses a generative AI model to produce labels that support the training process.

Another recent invention, “Entire Document Summarization,” describes a system for processing documents through their structure and content. It uses a structural representation and machine learning to create hierarchical representations of document portions, which a generative AI model can then use to respond to processing requests.

Career Highlights

Zakhvatov’s listed inventions focus on applying AI to practical document-related tasks, including model training, summarization, and responding to requests about document content. His work is associated with Docusign, Inc.

Collaborations

His listed coworkers include Yan He and Yan Pui Lam.

Conclusion

Alexey Zakhvatov’s patent work reflects an emphasis on using generative AI and machine learning to improve document processing and large language model capabilities.

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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