Mountain View, CA, United States of America

Apoorva Ajit Dhakras

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Apoorva Ajit Dhakras. Retrieved from https://idiyas.com/inventor/apoorva-ajit-dhakras

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 = 9.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Apoorva Ajit Dhakras: Inventor in AI-Ready Productivity Data

Introduction

Apoorva Ajit Dhakras is an inventor associated with Mountain View, California, and Microsoft Technology Licensing, LLC. Her patent work addresses preparing productivity application content for use with artificial intelligence language models.

Latest Patents

Dhakras is associated with 1 patent: “Conditioning of Productivity Application File Content for Ingestion by an Artificial Intelligence Model.” The invention describes a data processing system with a conversion service that receives productivity application files through an application programming interface. A format converter transforms each file into a format compatible with an AI language model, enabling the model to process the file content in response to a user instruction.

Career Highlights

Her disclosed patent work focuses on converting productivity files into formats that AI language models can process. The patent identifies Microsoft Technology Licensing, LLC as the associated company.

Collaborations

Aynoor Saleem and David Prejban are identified as Dhakras’s coworkers. The available information does not specify their roles in the patent.

Conclusion

Apoorva Ajit Dhakras’s patent highlights an approach to making productivity application content usable by AI language models through file conversion and processing.

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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