Tampa, FL, United States of America

Preyas Janak Shah

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Preyas Janak Shah. Retrieved from https://idiyas.com/inventor/preyas-janak-shah

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Preyas Janak Shah: Patent Inventor in Machine Learning

Introduction

Preyas Janak Shah is an inventor associated with Tampa, Florida, and Microsoft Technology Licensing, LLC. His patent work concerns techniques for executing machine-learning operations on specialized processors.

Latest Patents

Shah is named on one patent, titled “Deep Fusion of Kernel Execution.” The disclosure describes configuring functional modules on a machine-learning processor to execute multiple machine-learning operations across time segments. A portion of the operations runs serially, while at least one other operation runs during most of each segment; the serial operations may be processed simultaneously with that other operation. Shah’s listed patent portfolio includes 1 patent.

Career Highlights

The available information identifies Shah’s connection with Microsoft Technology Licensing, LLC, and his work on machine-learning processor techniques. The patent focuses on coordinating operations to support overlapping execution.

Collaborations

Shah’s listed coworkers include Haishan Zhu and Tiyasa Mitra. Their names are associated with the professional context provided for his patent work.

Conclusion

Preyas Janak Shah’s patent activity centers on methods for coordinating machine-learning operations on a processor, reflecting an interest in efficient kernel execution.

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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