Mukeshkumar Nagarajan

Title: Mukeshkumar Nagarajan and Memory Neural Networks for Agent Performance Analysis.

Introduction

Mukeshkumar Nagarajan is an inventor based in Chennai, India. His patent work addresses the use of memory neural networks to assess contact center agent performance from call recordings and conversation summaries.

Latest Patents

Nagarajan is associated with 1 patent, titled “Complexity Assessments for Agent Performance Analysis Using Memory Neural Networks.” The disclosed system receives recordings of calls between a contact center agent and users, generates a summary for each recording, and analyzes the summaries with a memory neural network to assign performance categories and scores. When a call score falls below a predefined threshold, the system updates a topics array based on the conversation summary. It then determines the agent’s total performance score from the individual call scores.

Career Highlights

Nagarajan is associated with Genesys Cloud Services, Inc. His patent reflects an application of neural-network analysis to contact center operations, combining call summaries, predefined performance categories, scoring thresholds, and topic tracking.

Collaborations

The listed coworkers associated with Nagarajan include Dileepkumar Kothamasu and Sanjay Sasidharan. Their names are provided as collaborators in the supplied information.

Conclusion

Mukeshkumar Nagarajan’s patent describes a structured approach to evaluating contact center agent performance using memory neural networks and call-derived information.