This inventor holds 1 USPTO granted patent. 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: Vaheeshta Shereen Mehrshahi: Innovator in Data Security for Machine Learning
Introduction
Vaheeshta Shereen Mehrshahi is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of data security, particularly in the context of machine learning systems. His innovative approach addresses the challenges of securely managing user information while enhancing the performance of machine learning applications.
Latest Patents
Vaheeshta holds a patent for a technology titled "Data security for machine learning systems." This invention provides 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 accessed, thereby protecting user privacy while improving task accuracy.
Career Highlights
Vaheeshta is currently 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 access with the imperative of user privacy. His contributions have been instrumental in advancing the capabilities of machine learning technologies.
Collaborations
Vaheeshta 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
Vaheeshta Shereen Mehrshahi is a pioneering inventor whose work in data security for machine learning systems exemplifies the intersection of technology and user privacy. 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
