Tarrytown, NY, United States of America

Siddhesh Salunke

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Siddhesh Salunke. Retrieved from https://idiyas.com/inventor/siddhesh-salunke

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: Siddhesh Salunke: Innovator in Data Processing Technology

Introduction

Siddhesh Salunke is a notable 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

Siddhesh 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

Siddhesh 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

Siddhesh collaborates with talented colleagues, including Shah Nawaz and Quan Yang. Together, they work on innovative projects that push the boundaries of data processing technology.

Conclusion

Siddhesh Salunke is a dedicated inventor whose work in data processing technology is making a significant impact. His patent for a scalable cloud-based data processing platform exemplifies his commitment to innovation in the field.

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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