Chennai, India

Amritendu Mondal

This inventor holds 2 USPTO granted patents. Top assignee: Freshworks, Inc.. Active years: 2022-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Amritendu Mondal. Retrieved from https://idiyas.com/inventor/amritendu-mondal

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 = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2023

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Amritendu Mondal: Innovator in Incremental Clustering

Introduction

Amritendu Mondal is a notable inventor based in Chennai, India. He has made significant contributions to the field of machine learning and data clustering. With a total of two patents to his name, Mondal is recognized for his innovative approaches to handling data efficiently.

Latest Patents

His latest patent focuses on "Incremental Clustering," which involves the incremental clustering of similar or related messages while requiring limited memory usage to enhance scalability. The process includes receiving an incoming message from an application programming interface (API) server and scanning multiple clusters for messages similar to the incoming one. The clustering engine identifies a suitable cluster and assigns the incoming message to it, thereby optimizing data management.

Career Highlights

Amritendu Mondal is currently employed at Freshworks, Inc., where he applies his expertise in machine learning and data clustering. His work is pivotal in developing scalable solutions that improve the efficiency of data processing.

Collaborations

He collaborates with fellow innovator Tarkeshwar Thakur, contributing to advancements in their field.

Conclusion

Amritendu Mondal's work in incremental clustering showcases his commitment to innovation in machine learning. His contributions are paving the way for more efficient data management solutions.

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…