This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. 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: Charlie Lertlumprasert: Innovator in Data Security for Machine Learning
Introduction
Charlie Lertlumprasert is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of data security, particularly in relation to machine learning systems. His innovative approach addresses the challenges of securely managing user information while enhancing the accuracy of machine learning tasks.
Latest Patents
Lertlumprasert holds a patent for a technology titled "Data security for machine learning systems." This patent describes a system and method for securely managing information provided to a machine-learning system. The technology ensures that additional user data is only requested after determining that existing data may not meet quality criteria for task responses. This method enhances security by limiting the amount of user data requested, thereby protecting user privacy while improving task accuracy.
Career Highlights
Charlie Lertlumprasert is associated with Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in data security. His work focuses on creating systems that balance the need for data with the imperative of user privacy. Lertlumprasert's contributions are vital in advancing the capabilities of machine learning technologies.
Collaborations
Lertlumprasert has collaborated with notable colleagues, including Thomas Henry Alphin, III, and Christophe Alain Berthoud. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.
Conclusion
Charlie Lertlumprasert is a key figure in the realm of data security for machine learning, with a focus on enhancing user privacy while improving system accuracy. His contributions are shaping the future of secure machine learning applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
