Bengaluru, India

Rakesh Mondal

This inventor holds 1 USPTO granted patent. Top assignee: Salesforce, Inc.. Active years: 2026.

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

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Rakesh Mondal: Inventor in Machine Learning and Vehicle Maintenance

Introduction

Rakesh Mondal is an inventor based in Bengaluru, India, associated with Salesforce, Inc. His patent work addresses the use of machine learning to support vehicle maintenance decisions.

Latest Patents

Mondal is associated with 1 patent, titled “Machine learning model deployment for equipment.” The invention describes a machine learning model hosted on a cloud platform that can use vehicle sensor data and customer relationship management (CRM) data to predict whether maintenance should be performed. A separate cloud platform containing the CRM system can transmit CRM and sensor data to the platform hosting the model. The system may generate a score for a predicted maintenance procedure and, when that score meets a specified threshold, send a notification to a computing device identifying the recommended procedure.

Career Highlights

Mondal’s patent reflects work at the intersection of cloud computing, machine learning, and predictive vehicle maintenance. The described approach connects data from different platforms to help generate maintenance predictions and notify users when action may be warranted.

Collaborations

Mondal is associated with Salesforce, Inc. His listed coworker is Sundar Ram Vedula. The patent description emphasizes coordination between cloud platforms and data sources, though the provided information does not specify the individual contributions of collaborators.

Conclusion

Rakesh Mondal’s patent focuses on using cloud-hosted machine learning and vehicle data to support timely, predictive maintenance decisions.

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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