Amalapuram, India

Mohan Krishna Kusuma

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Salesforce, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mohan Krishna Kusuma. Retrieved from https://idiyas.com/inventor/mohan-krishna-kusuma

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Mohan Krishna Kusuma: Innovator in Synthetic Data Generation

Introduction

Mohan Krishna Kusuma is a notable inventor based in Amalapuram, India. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on synthetic data generation, which is crucial for enhancing the performance of predictive models.

Latest Patents

Mohan holds a patent for a method and system for synthetic data generation for machine learning model simulation. This patent outlines a process that receives a schema configuration file from a client application, creates a set of worker processes to generate the synthetic data set based on the provided schema, uploads the generated data to an analytics platform, and enables the client application to utilize this data in prediction models.

Career Highlights

Mohan is currently employed at Salesforce, Inc., where he applies his expertise in data generation and analytics. His role involves collaborating with various teams to enhance machine learning capabilities and improve data-driven decision-making processes.

Collaborations

Mohan has worked alongside talented colleagues such as Akash Singh and Debadri Basak. Their combined efforts contribute to the innovative projects at Salesforce, Inc., fostering a collaborative environment that drives technological advancements.

Conclusion

Mohan Krishna Kusuma is a pioneering inventor whose work in synthetic data generation is shaping the future of machine learning. His contributions are vital for the development of more accurate predictive models, showcasing the importance of innovation in technology.

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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