Concord, CA, United States of America

Omer Muhammed

This inventor holds 1 USPTO granted patent. Top assignee: Intuit, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Omer Muhammed. Retrieved from https://idiyas.com/inventor/omer-muhammed

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 = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Omer Muhammed and AI-Enabled Mobile Application Healing.

Introduction

Omer Muhammed is an inventor associated with Concord, California, and Intuit, Inc. His patent work focuses on using artificial intelligence and tracing data to identify and automatically address problems in mobile application deployments.

Latest Patents

The provided information lists one patent associated with Muhammed: “Artificial intelligence and tracing-enabled automated healing for mobile device deployments.” The invention describes techniques for monitoring the health of a mobile application’s product flow using metrics collected at flags or checkpoints and sent to a metrics server. When the system detects a health issue or anomaly, an automated healing component can take corrective action or generate an alert. Artificial intelligence may help analyze the metrics and identify problems.

Career Highlights

Muhammed’s listed patent reflects work on improving the reliability of mobile application product flows through monitoring, anomaly detection, and automated responses. The information provided associates him with Intuit, Inc. and identifies 1 patent.

Collaborations

The listed coworkers are Mayuresh Sanjay Raut and Muralidhar Kattimani. The available information does not specify their roles in the patent or the nature of their collaboration with Muhammed.

Conclusion

Omer Muhammed’s patent highlights an approach to mobile application reliability that combines tracing, metrics, and artificial intelligence to detect and respond to deployment issues.

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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