San Jose, CA, United States of America

David Mueller

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Mueller. Retrieved from https://idiyas.com/inventor/david-mueller-tb8q8159

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: David Mueller and Data Analytics Framework Management.

Introduction

David Mueller is an inventor based in San Jose, California. His patent work addresses ways to make data analytics engines easier to reuse and manage across computing environments.

Latest Patents

Mueller is associated with 1 patent, titled “Management of Diverse Data Analytics Frameworks in Computing Systems.” The invention describes presenting data analytics engines as “black-boxed” abstractions, allowing users to combine analytical components when their input data meets an engine’s requirements. By separating engine creation from the environment where an engine runs, the approach aims to support automation, scalability, and maintainability. It also enables data analytics engineers and data scientists to create reusable components for other scientists and business users, who can work with the engines based on their data’s input schema without needing to understand the underlying code or runtime environment.

Career Highlights

Mueller is associated with Teradata US, Inc. His patent reflects an interest in making analytics tools more reusable and accessible to users who may not need to know how those tools are implemented.

Collaborations

The provided information lists Sebastian Mariano Salomon and Riaz Uddin as Mueller’s coworkers. Their specific roles in the patent or related work are not stated.

Conclusion

David Mueller’s patent focuses on abstracting and decoupling data analytics engines to help make analytical components easier to reuse, deploy, and maintain.

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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