Mt. Juliet, TN, United States of America

Daniely Zoller Cruz

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Daniely Zoller Cruz

Introduction

Daniely Zoller Cruz is an accomplished inventor based in Mt. Juliet, TN (US). He has made significant contributions to the field of technology, particularly in the development of interactive geographical mapping systems. His innovative approach combines machine learning with user engagement to enhance the way individuals interact with geographical data.

Latest Patents

Daniely holds 1 patent for his invention titled "Displaying an interactive geographical map of sources." This patent describes an online system that receives requests to access an interactive geographical map from a client device associated with a user. The system retrieves data about the user's geographical location and identifies sources within a specified distance. It then applies a machine-learning model to predict user engagement scores, which indicate the likelihood of interactions with items available at each source. Based on these scores, the system generates a map that displays the geographical locations of selected sources, enhancing user experience.

Career Highlights

Daniely is currently employed at Maplebear Inc., where he continues to innovate and develop new technologies. His work focuses on improving the accessibility and interactivity of geographical information systems. His contributions have been instrumental in advancing the capabilities of mapping technologies.

Collaborations

Daniely collaborates with talented individuals such as Benjamin Knight and Samuel K Sherman. Together, they work on projects that push the boundaries of technology and enhance user engagement through innovative solutions.

Conclusion

Daniely Zoller Cruz exemplifies the spirit of innovation in the field of technology. His work on interactive geographical mapping systems showcases his ability to blend machine learning with practical applications. His contributions are paving the way for future advancements in how users interact with geographical data.

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