This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2025.
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
Title: Harshul Gupta: Innovator in Automated Training Data Generation
Introduction
Harshul Gupta is a notable inventor based in Kent, WA (US). He has made significant contributions to the field of machine learning and computer vision through his innovative patent. His work focuses on the automated generation of training data, which is crucial for developing advanced algorithms.
Latest Patents
Harshul Gupta holds a patent titled "Automated generation of training data including airborne object trajectory data." This patent describes systems and methods that automatically generate training data by receiving real trajectory data from one environment and imaging data from another. The process involves transforming the real trajectory data into synthetic trajectory data, which is then superimposed on the imaging data. This innovative approach allows for the rendering of images of airborne objects along the synthetic trajectory, creating valuable training data for machine learning models and various computer vision applications. He has 1 patent to his name.
Career Highlights
Harshul Gupta is currently employed at Amazon Technologies, Inc., where he continues to push the boundaries of technology and innovation. His work at Amazon has allowed him to collaborate with other talented professionals in the field, enhancing the development of cutting-edge solutions.
Collaborations
One of his notable coworkers is Francesco Callari. Their collaboration exemplifies the teamwork and synergy that drive innovation in technology.
Conclusion
Harshul Gupta's contributions to automated training data generation highlight his role as a key innovator in the field of machine learning. His patent and work at Amazon Technologies, Inc. demonstrate his commitment to advancing technology and improving computer vision applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
