This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Salesforce, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Sundar Ram Vedula: Inventor of a Machine Learning Model Deployment for Equipment
Introduction
Sundar Ram Vedula is an inventor based in Bengaluru, India, associated with Salesforce, Inc. His patent work concerns using machine learning and connected data to help predict when vehicle maintenance may be needed.
Latest Patents
The provided information lists one patent for Vedula: “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 a maintenance procedure should be performed. A separate cloud platform containing the CRM system may transmit CRM and vehicle sensor data to the platform hosting the model. The system may also generate a prediction score for a maintenance procedure and, when that score meets a specified threshold, send a notification to a computing device identifying the procedure to perform. Vedula is credited with 1 patent.
Career Highlights
Vedula is associated with Salesforce, Inc. His listed patent highlights an application of cloud-based machine learning to equipment maintenance, combining operational sensor information with CRM data to support predictive recommendations.
Collaborations
Mritunjay Kumar is identified as Vedula’s coworker. The provided information does not specify whether Kumar collaborated on the patent.
Conclusion
Sundar Ram Vedula’s listed invention applies cloud-hosted machine learning to vehicle maintenance prediction, using sensor and CRM data to help identify when service may be appropriate.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
