Location History:
- Northlake, TX (US) (2023)
- San Antonio, TX (US) (2023)
Company Filing History:
Years Active: 2023-2025
Title: Fredrick William Rodgers: Innovator in Machine Learning and Data Security
Introduction
Fredrick William Rodgers is a notable inventor based in Northlake, TX (US). He has made significant contributions to the fields of machine learning and data security, holding a total of 4 patents. His innovative work focuses on enhancing communication systems while ensuring the protection of sensitive information.
Latest Patents
Fredrick's latest patents include "Token based communications for machine learning systems." This patent describes techniques for communicating between two organizations without exchanging sensitive private information. One of the methods involves generating a token representative of private data, identifying at least one entity associated with that data, and associating the token with that entity. Additionally, it includes providing information identifying the entity and the token to a machine learning system. Another significant patent is "Systems and methods for precise sensitive data detection." This patent encompasses systems and methods for scanning and identifying sensitive data in unexpected locations within data storage structures. Once sensitive data is detected, actions can be taken to remediate its unexpected storage.
Career Highlights
Fredrick William Rodgers is currently employed at the United Services Automobile Association (USAA), where he applies his expertise in developing innovative solutions for data security and machine learning. His work has been instrumental in advancing the capabilities of communication systems in a secure manner.
Collaborations
Fredrick has collaborated with notable colleagues, including Michael P. Gout and Christopher Edward Flores. Their combined efforts contribute to the innovative projects at USAA, enhancing the organization's technological advancements.
Conclusion
Fredrick William Rodgers stands out as an influential inventor in the realm of machine learning and data security. His patents reflect a commitment to innovation and the protection of sensitive information, making a significant impact in his field.