Agoura Hills, CA, United States of America

Valeriia Tyshchenko

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Valeriia Tyshchenko. Retrieved from https://idiyas.com/inventor/valeriia-tyshchenko

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

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: Valeriia Tyshchenko: Patent Inventor in Agoura Hills

Introduction

Valeriia Tyshchenko is an inventor associated with Agoura Hills, California, and Pluto Inc. Her patent work includes a system for handling requests for streamable content and presenting query results.

Latest Patents

Tyshchenko is listed as an inventor on 1 patent: “Methods and Systems for Automatically Generating Queries and Displaying Visual Representations of Query Results Using Graphics Processing Units.” The invention compares a user’s request with vectors representing previously cached requests. When it finds a sufficiently similar request, the system can retrieve and send the corresponding stored response. Otherwise, it can forward part of the request, along with information about content in a library, to an artificial intelligence learning engine and transmit the engine’s response to the user.

Career Highlights

Tyshchenko’s listed patent connects her work with automated query processing, cached responses, artificial intelligence, and streamable content. She is associated with Pluto Inc.

Collaborations

The provided information lists Louis Edward Miller and Francis J. Olearczyk as Tyshchenko’s coworkers. The patent description concerns a system that combines request comparison, content-library information, and an artificial intelligence learning engine.

Conclusion

Valeriia Tyshchenko’s patent reflects an approach to making content queries more efficient by reusing relevant cached responses or generating new ones through an artificial intelligence learning engine.

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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