Tarrytown, NY, United States of America

Shah Nawaz

This inventor holds 1 USPTO granted patent. Top assignee: Regeneron Pharmaceuticals, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shah Nawaz. Retrieved from https://idiyas.com/inventor/shah-nawaz

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


% Patents Active = 100.0

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Shah Nawaz: Innovator in Data Processing Technology

Introduction

Shah Nawaz is a prominent inventor based in Tarrytown, NY (US). He has made significant contributions to the field of data processing and computing. His innovative work focuses on creating scalable solutions for handling large volumes of data.

Latest Patents

Shah Nawaz holds one patent for a groundbreaking invention titled "Data Pipeline." This patent describes a scalable cloud-based data processing and computing platform designed to support a large volume data pipeline. His invention aims to enhance the efficiency and effectiveness of data management in various applications.

Career Highlights

Shah Nawaz is currently employed at Regeneron Pharmaceuticals, Inc., where he applies his expertise in data processing to support the company's research and development efforts. His role involves leveraging technology to improve data handling and analysis, which is crucial in the pharmaceutical industry.

Collaborations

Shah has collaborated with talented coworkers, including Quan Yang and Naveen Karumuri. Together, they work on innovative projects that push the boundaries of data processing technology.

Conclusion

Shah Nawaz is a dedicated inventor whose work in data processing technology is making a significant impact in the field. His contributions, particularly through his patent for a scalable data pipeline, demonstrate his commitment to innovation and excellence.

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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