This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Dropbox, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Ganesh Prasad Rapolu: Innovator in Smart Services Placement
Introduction
Ganesh Prasad Rapolu is an accomplished inventor based in Mountain House, CA (US). He has made significant contributions to the field of technology, particularly in the area of smart services placement. His innovative approach has led to the development of a unique system that enhances server performance and resource allocation.
Latest Patents
Ganesh holds a patent for a system titled "Smart services placement." This system is designed to obtain performance signals associated with multiple servers used in performing tasks. It utilizes a machine learning model to analyze these performance signals and generate a health metric related to the servers. The system can determine if the health metric meets specific migration conditions and can initiate a reallocation of resources to optimize task performance. This innovative solution demonstrates Ganesh's commitment to improving server efficiency and resource management.
Career Highlights
Ganesh Prasad Rapolu is currently employed at Dropbox, Inc., where he continues to apply his expertise in technology and innovation. His work at Dropbox has allowed him to collaborate with other talented professionals in the industry, further enhancing his skills and contributions to the field.
Collaborations
Some of Ganesh's notable coworkers include Eric Shobe and Oleg Guba. Their collaboration has fostered a creative environment that encourages innovation and the development of cutting-edge solutions.
Conclusion
Ganesh Prasad Rapolu is a notable inventor whose work in smart services placement has the potential to revolutionize server management and resource allocation. His contributions to technology reflect a deep understanding of machine learning and system optimization.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
