Leesburg, VA, United States of America

Javed Rahman

This inventor holds 1 USPTO granted patent. Top assignee: T-Mobile Innovations LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Javed Rahman. Retrieved from https://idiyas.com/inventor/javed-rahman-37suprq4

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Javed Rahman: Innovator in Wireless Communication Networks

Introduction

Javed Rahman is a notable inventor based in Leesburg, VA (US). He has made significant contributions to the field of wireless communication networks, particularly in the area of machine learning.

Latest Patents

Javed holds a patent for "Key performance indicator (KPI) anonymization for machine learning training in wireless communication networks." This innovative patent involves various embodiments that configure a wireless communication network to anonymize network Key Performance Indicators (KPIs) for training machine learning models. The system includes a network analytics system and a KPI store, which retrieves and filters network KPIs based on the intended function of the machine learning model. The analytics system identifies correlated filtered KPIs and groups them based on network conditions. It further sorts these KPIs into ranges and tokenizes them for storage in a KPI database, making them accessible for training the machine learning model.

Career Highlights

Javed Rahman is currently associated with T-Mobile Innovations LLC, where he continues to work on advancing technologies in wireless communication. His expertise in machine learning and network analytics has positioned him as a valuable asset in the industry.

Collaborations

Due to space constraints, the collaborations section will be omitted.

Conclusion

Javed Rahman's innovative work in KPI anonymization for machine learning training showcases his commitment to enhancing wireless communication networks. His contributions are paving the way for more efficient and effective machine learning applications in this 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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