Location History:
- White Plains, NY (US) (2020)
- Rye Brook, NY (US) (2021)
- Rye Brook, NJ (US) (2022)
Company Filing History:
Years Active: 2020-2025
Title: Nili Klenoff: Innovator in Personalized Image Technology
Introduction
Nili Klenoff is a prominent inventor based in Rye Brook, NJ (US). She has made significant contributions to the field of personalized image technology, holding a total of 4 patents. Her innovative work focuses on methods for the identification and distribution of personalized images, showcasing her expertise in this evolving area.
Latest Patents
One of Nili Klenoff's latest patents is a method and system for the dynamic display of personalized images. This method involves a processing server that receives an image request from a web server. The image request includes a device identifier and an originating address. The processing server then electronically transmits a data request to a computing device associated with the device identifier and receives a data file from that device. This data file contains one or more data values linked to an electronic wallet. The processing server executes a query to identify an image file based on the data values included in the received data file. Finally, the processing server electronically transmits the identified image file to the web server in response to the image request.
Career Highlights
Nili Klenoff is currently employed at Mastercard International Incorporated, where she continues to develop innovative solutions in her field. Her work at Mastercard has allowed her to leverage her skills and knowledge to create impactful technologies that enhance user experiences.
Collaborations
Nili has collaborated with notable professionals in her field, including David Lim and Heinz Ramin Gallenbacher. These collaborations have contributed to her success and the advancement of her projects.
Conclusion
Nili Klenoff is a trailblazer in the realm of personalized image technology, with a strong portfolio of patents and a commitment to innovation. Her contributions continue to shape the future of how personalized images are identified and distributed.