This inventor holds 4 USPTO granted patents and 6 published patent applications. Top assignee: Actimize Ltd.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations by Sunny Tholar
Introduction
Sunny Tholar is an accomplished inventor based in Pune, India. He has made significant contributions to the field of machine learning, particularly in developing methods for testing classification models in cloud-based environments. His innovative approach has the potential to enhance the efficiency and accuracy of machine learning applications.
Latest Patents
Sunny Tholar holds a patent for a method and system for testing a classification machine learning (ML) model of a tenant of a service provider in a cloud-based environment. This computerized method includes several key steps: receiving an object of a classification ML model for testing from the tenant, executing an API with the received object, identifying one or more tenants based on activity type and preconfigured characteristics, performing an evaluation of the model by operating the API on each retrieved dataset, and calculating an average of the stored score-results to yield a performance score. If the performance score exceeds a predefined threshold, the classification ML model is deployed in the tenant's system. This patent showcases his expertise in integrating machine learning with cloud technology.
Career Highlights
Sunny Tholar is currently employed at Actimize Ltd., where he continues to innovate and develop advanced solutions in the field of machine learning. His work focuses on enhancing the capabilities of classification models, making them more effective for service providers.
Collaborations
Sunny collaborates with Ori Snir, a talented coworker who contributes to their projects with her expertise. Together, they work on advancing the applications of machine learning in various domains.
Conclusion
Sunny Tholar's contributions to the field of machine learning through his innovative patent demonstrate his commitment to advancing technology. His work at Actimize Ltd. and collaboration with Ori Snir further highlight his role in shaping the future of machine learning applications.