Company Filing History:
Years Active: 2023
Title: Inventor Profile: Naveen Adarsh Petla
Introduction
Naveen Adarsh Petla is a pioneering inventor based in Bengaluru, India, recognized for his contributions to the field of machine learning and big data. His innovative approach has led to the creation of a patent that enhances the capabilities of intelligent continuous learning systems.
Latest Patents
Naveen holds a patent titled "Machine learning with an intelligent continuous learning service in a big data environment." This groundbreaking invention introduces a system that provides intelligent continuous learning by updating a machine learning model based on new datasets. The system leverages a transfer loss function that remains independent of the older datasets used to train existing models, enabling more efficient and effective learning. It includes a graphical user interface (GUI) for users to select configuration criteria, such as threshold performance for automatic deployment of the new model. The iterative creation and evaluation of the new model over multiple iterations is presented on the GUI, and when the new model meets the specified deployment requirements, it can seamlessly replace the existing model.
Career Highlights
Naveen currently works at VMware, Inc., a renowned leader in cloud infrastructure and digital workspace technology. His work at VMware emphasizes the integration of advanced machine learning techniques into practical applications, enhancing the company's offerings in big data solutions.
Collaborations
In his career, Naveen has collaborated with talented coworkers, including Ayesha Karim and Aishwary Thakur. These partnerships contribute to a dynamic work environment where innovative ideas flourish and complex problems are addressed effectively.
Conclusion
Naveen Adarsh Petla stands out as a significant figure in the landscape of innovation in machine learning and big data environments. His patent reflects a commitment to advancing technology and improving the functionality of intelligent systems. As he continues his work at VMware, he remains dedicated to exploring new frontiers in the realm of machine learning and applications in big data.