Seattle, WA, United States of America

Jingyou MA

This inventor holds 1 USPTO granted patent. Top assignee: Government Employees Insurance Company (Geico). Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jingyou MA. Retrieved from https://idiyas.com/inventor/jingyou-ma

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: Jingyou MA: Inventor of an Intelligent Data Transformation System.

Introduction

Jingyou MA is an inventor based in Seattle, Washington. His patent work focuses on transforming data from diverse computing platforms into a consistent architecture that users and enterprise operations can access.

Latest Patents

MA is associated with 1 patent: “Method and System for Intelligent Transformation Using Data Production Experience (DPX).” The patent describes a system that receives data from multiple sources, including security credentials and sample datasets, and manages its movement through a data pipeline. Its Data Production Experience (DPX) core engine uses pipeline orchestration to coordinate workflows and transform the incoming data into a homogenized architecture.

Career Highlights

The supplied information identifies Government Employees Insurance Company (GEICO) as MA’s company affiliation. His patent reflects work on data integration and intelligent transformation across computing platforms.

Collaborations

The supplied information names Sunil Ahuja and Cian Bell as MA’s coworkers. Their specific roles in the patent or related work are not provided.

Conclusion

Jingyou MA’s patent describes an orchestrated approach to transforming data from varied sources into a consistent, accessible architecture.

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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