Sanjay Sasidharan

Title: Sanjay Sasidharan and AI-Based Agent Performance Analysis.

Introduction

Sanjay Sasidharan is an inventor associated with Chennai, India, and Genesys Cloud Services, Inc. His patent work addresses the use of memory neural networks to assess contact center agent performance from recorded conversations.

Latest Patents

Sasidharan is associated with 1 patent: “Complexity Assessments for Agent Performance Analysis Using Memory Neural Networks.” The invention describes a system that receives recordings of calls between contact center agents and users, generates a summary for each call, and analyzes each summary with a memory neural network. The system assigns a performance category and score to each call, compares the score with a predefined threshold, and updates a topics array when a score falls below that threshold. It then determines an overall performance score for the agent based on the individual call scores.

Career Highlights

His listed company affiliation is Genesys Cloud Services, Inc. The patent reflects an application of neural-network analysis to contact center operations, using conversation summaries and call scores to support structured evaluation of agent performance.

Collaborations

Sasidharan’s listed coworkers include Dileepkumar Kothamasu and Mukeshkumar Nagarajan. Their names are provided as professional associations, though the available information does not specify their roles in the patent.

Conclusion

Sanjay Sasidharan’s patent focuses on applying memory neural networks to evaluate agent performance across recorded customer calls, connecting conversation analysis with measurable performance scores.