San Francisco, CA, United States of America

Roberto Fonti

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.3

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):Explore Patents

Title: Roberto Fonti: Innovator in Geolocation Systems

Introduction

Roberto Fonti is a notable inventor based in San Francisco, California, recognized for his contributions to geolocation technologies. With a total of two patents to his name, Fonti's work has significantly impacted the way geographic data is analyzed and utilized in applications.

Latest Patents

Fonti's latest inventions include a Place Visibility Scoring System and a Reverse Geocoding System. The Place Visibility Scoring System involves a sophisticated approach to determining the visibility of various locations based on geographic coordinates. This system processes visual data to generate visibility scores, enhancing the understanding of location prominence. The Reverse Geocoding System further refines the capability by identifying candidate places within a predetermined distance of a specified location, generating place scores to determine the most relevant one. Both patents showcase innovative solutions to complex location-based challenges.

Career Highlights

Roberto Fonti works at Uber Technologies, Inc., where he leverages his skills to develop advanced systems that improve user experience in navigation and location services. His impact on the company is profound, contributing to its ongoing evolution in the technology sector.

Collaborations

In his career, Fonti has collaborated with talented professionals such as Juthika Kiran Dabholkar and Jeremy Hintz. Their combined expertise fosters innovation and drives forward the creation of cutting-edge technologies within their field.

Conclusion

Roberto Fonti's work exemplifies a commitment to innovation in geolocation systems. With his patents, he continues to shape the landscape of location technologies, promising to enhance how users interact with their environments through advanced data analysis.

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