This inventor holds 1 USPTO granted patent. Top assignee: Hewlett Packard Enterprise Development LP. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Saurabh Jogalekar: Innovator in Remote Machine Learning
Introduction
Saurabh Jogalekar is an accomplished inventor based in Santa Clara, California. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency of remote machine learning training processes.
Latest Patents
Saurabh holds a patent titled "Systems and methods of remote machine learning training with remote submission and execution through a coding notebook." This patent outlines systems and methods that facilitate the remote submission and execution of machine learning models. The technology allows a notebook client running on a user terminal to submit model code to a selected training cluster without needing specific configuration for the compute engine. A management system maintains configuration parameters for the training clusters, enabling seamless integration and execution.
Career Highlights
Saurabh is currently employed at Hewlett Packard Enterprise Development LP, where he continues to innovate in the field of technology. His work has been instrumental in advancing remote machine learning capabilities, making it easier for users to train models efficiently.
Collaborations
Saurabh collaborates with talented coworkers, including Kartik Mathur and Ritesh Jaltare. Their combined expertise contributes to the development of cutting-edge solutions in machine learning.
Conclusion
Saurabh Jogalekar is a notable inventor whose work in remote machine learning training is paving the way for future innovations in the field. His contributions are significant and reflect his commitment to advancing technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
