Chennai, India

Mullaikani Anbazhagan

This inventor holds 1 USPTO granted patent. Top assignee: Bank of America Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mullaikani Anbazhagan. Retrieved from https://idiyas.com/inventor/mullaikani-anbazhagan

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 = 2.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Mullaikani Anbazhagan: Innovator in Machine Learning and IoT

Introduction

Mullaikani Anbazhagan is a notable inventor based in Chennai, India. He has made significant contributions to the field of machine learning and the Internet of Things (IoT). His innovative work focuses on enhancing the processing of device telemetry in distributed computing environments.

Latest Patents

Mullaikani holds a patent for a "Machine learning based system for processing device telemetry in a distributed computing environment." This invention enables real-time transmission of IoT telemetry data to third parties. The system utilizes machine learning models to analyze IoT telemetry data, providing recommendations tailored to specific IoT device users. Additionally, it incorporates Non-Fungible Tokens (NFTs) that link IoT device identifiers and user identifiers, ensuring secure and anonymous data transmission.

Career Highlights

Mullaikani Anbazhagan is currently employed at Bank of America Corporation, where he applies his expertise in machine learning and IoT technologies. His work contributes to the advancement of innovative solutions in the banking sector, particularly in the realm of data processing and analysis.

Collaborations

Mullaikani collaborates with his coworker, Sujatha Balaji, to further enhance their projects and drive innovation within their organization.

Conclusion

Mullaikani Anbazhagan's contributions to machine learning and IoT demonstrate his commitment to innovation and technology. His patent reflects a forward-thinking approach to data processing, which has the potential to transform how IoT devices interact with users and third parties.

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]
Loading…