Company Filing History:
Years Active: 2024
Title: Jason Prasad: Innovator in Machine Learning for Object Authentication
Introduction
Jason Prasad is an accomplished inventor based in Berkley, MI (US). He has made significant contributions to the field of machine learning, particularly in the area of object authentication. With a focus on enhancing online security, Prasad's work is paving the way for more reliable authentication systems.
Latest Patents
Prasad holds 1 patent for his innovative work titled "Machine learning techniques for object authentication." This patent describes systems and methods for authenticating objects associated with online activities. The authentication system processes data related to a target object and generates a featurized dataframe. By applying a machine learning model to this dataframe, the system determines an authenticity indicator for the target object. Based on this indicator, online activities involving the target object can be either blocked or permitted.
Career Highlights
Currently, Jason Prasad is employed at StockX LLC, where he continues to develop and refine his innovative ideas. His work at StockX LLC focuses on integrating advanced technologies to improve user experiences and security measures in online transactions.
Collaborations
Prasad collaborates with talented individuals such as Samuel Bean and Dominic Vena Roberts, II. These partnerships enhance the creative process and contribute to the development of cutting-edge solutions in the field of machine learning.
Conclusion
Jason Prasad is a notable inventor whose work in machine learning for object authentication is making a significant impact on online security. His innovative approach and dedication to improving authentication systems are commendable.