This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Nvidia Corporation. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Parag Kulkarni: Innovator in Executable Graph Modifications
Introduction
Parag Kulkarni is a notable inventor based in Pune, India. He has made significant contributions to the field of computer science, particularly in the area of executable graphs. His innovative work has led to the development of techniques that enhance the performance of task graphs in computing environments.
Latest Patents
Parag Kulkarni holds a patent titled "Techniques for modifying an executable graph to perform a workload associated with a new task graph." This patent focuses on methods to modify executable graphs to accommodate different workloads. In one embodiment, an executable version of a first task graph is altered by applying a non-executable version of a second task graph. This modification allows the executable version of the first task graph to perform a second workload associated with the non-executable version of the second task graph. He has 1 patent to his name.
Career Highlights
Parag Kulkarni is currently employed at Nvidia Corporation, a leading technology company known for its advancements in graphics processing units and artificial intelligence. His role at Nvidia allows him to work on cutting-edge technologies and contribute to innovative projects that shape the future of computing.
Collaborations
Some of his notable coworkers include Steven Arthur Gurfinkel and Stephen Jones. Their collaboration fosters a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
Parag Kulkarni's contributions to the field of executable graphs exemplify the spirit of innovation. His patent and work at Nvidia Corporation highlight his commitment to advancing technology and improving computational efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
