San Jose, CA, United States of America

Aynoor Saleem

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aynoor Saleem. Retrieved from https://idiyas.com/inventor/aynoor-saleem

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Aynoor Saleem and AI-Ready Productivity File Processing.

Introduction

Aynoor Saleem is an inventor based in San Jose, California. His patent work concerns preparing productivity application files so that artificial intelligence models can process their contents.

Latest Patents

Saleem is associated with 1 patent, titled “Conditioning of Productivity Application File Content for Ingestion by an Artificial Intelligence Model.” The invention describes a data processing system with a server-hosted conversion service and an application programming interface for receiving productivity application files at scale. A format converter transforms each file into a format compatible with an AI language model, allowing the model to work with the file content in response to a user instruction.

Career Highlights

Saleem is associated with Microsoft Technology Licensing, LLC. His patent highlights work at the intersection of productivity software, file conversion, and AI language-model processing.

Collaborations

The provided information identifies Apoorva Ajit Dhakras and Erali Jatin Shah as Saleem’s coworkers.

Conclusion

Aynoor Saleem’s patent focuses on converting productivity application files into formats that enable AI language models to process their content.

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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