Milpitas, CA, United States of America

Rahul Shah

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Groq, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rahul Shah. Retrieved from https://idiyas.com/inventor/rahul-shah-xfbbgos7

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Rahul Shah in DRAM Management

Introduction

Rahul Shah is an accomplished inventor based in Milpitas, California. He has made significant contributions to the field of dynamic random-access memory (DRAM) management. His innovative approach addresses the challenges associated with latency and bandwidth in DRAM systems.

Latest Patents

Rahul Shah holds a patent for a method to manage periodic DRAM refresh and maintenance scheduling for predictable DRAM data access. This invention tackles the unpredictable nature of latency and bandwidth during read and write operations in DRAM. By synchronizing refresh and maintenance cycles with read/write accesses, his method ensures that these operations do not interfere with each other, resulting in improved performance.

Career Highlights

Currently, Rahul Shah is employed at Groq, Inc., where he continues to develop cutting-edge technologies in memory management. His work has been instrumental in enhancing the efficiency of DRAM systems, making them more reliable for various applications.

Collaborations

Rahul collaborates with talented professionals such as Albert Cheng and Michael Bye, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Rahul Shah's contributions to DRAM management exemplify the impact of innovative thinking in technology. His patent not only addresses critical issues in memory performance but also sets the stage for future advancements 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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