This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Deep Vision, 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: Innovations of Rajasekhar Reddy Ereddy
Introduction
Rajasekhar Reddy Ereddy is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of neural networks and performance profiling. His work is characterized by a focus on enhancing the efficiency of neural network execution.
Latest Patents
Rajasekhar Reddy Ereddy holds a patent titled "System and method for profiling on-chip performance of neural network execution." This innovative method involves accessing a static schedule of a target neural network for execution by a processing device. The target neural network consists of a set of layers. The process includes generating a set of expected performance metrics based on the static schedule, which includes a first expected performance metric for the first layer. Additionally, it involves accessing runtime performance metrics captured during the execution of the target neural network. If a difference between the runtime performance metric and the expected performance metric exceeds a threshold, an alert is served at a user interface. This patent showcases his expertise in optimizing neural network performance.
Career Highlights
Rajasekhar Reddy Ereddy is currently associated with Deep Vision, Inc., where he applies his knowledge and skills in neural network technologies. His work at the company emphasizes the importance of performance profiling in machine learning applications.
Collaborations
He has collaborated with notable colleagues such as Satyanarayana Raju Uppalapati and Sameek Banerjee, contributing to various projects that enhance the capabilities of neural networks.
Conclusion
Rajasekhar Reddy Ereddy is a prominent figure in the field of neural networks, with a focus on performance profiling. His innovative patent and contributions to Deep Vision, Inc. highlight his commitment to advancing technology in this area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile