This inventor holds 1 USPTO granted patent. Top assignee: Emc IP Holding Company LLC. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Koushik Nagaraj Godbole: Innovator in Machine Learning Resource Prediction
Introduction
Koushik Nagaraj Godbole is a prominent inventor based in Santa Clara, CA (US). He has made significant contributions to the field of machine learning, particularly in resource availability prediction for storage systems. His innovative approach has the potential to enhance the efficiency of file system services.
Latest Patents
Koushik holds a patent for a groundbreaking invention titled "Machine learning based resource availability prediction." This patent involves registering requests from file system services of a storage system, where each service utilizes various resources. The invention collects resource utilization data over time, including identification, timestamps, and utilization levels. A machine learning model is then trained to predict utilization patterns, allowing for optimized scheduling of file system services based on these predictions. Continuous monitoring ensures that the model remains accurate and relevant.
Career Highlights
Koushik is currently employed at Emc IP Holding Company LLC, where he applies his expertise in machine learning and resource management. His work focuses on developing innovative solutions that improve the performance and reliability of storage systems.
Collaborations
Koushik has collaborated with talented individuals such as Shashikanth Lakshmikantha and Sankalp Suhas Taralekar. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.
Conclusion
Koushik Nagaraj Godbole is a visionary inventor whose work in machine learning is paving the way for advancements in resource management within storage systems. His contributions are set to make a lasting impact in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile