This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignee: Maplebear Inc.. 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: Innovations by Axel Mange
Introduction
Axel Mange is an accomplished inventor based in New York, NY (US). He has made significant contributions to the field of technology, particularly in machine learning and image processing. With a total of 2 patents, his work focuses on enhancing user engagement through innovative online systems.
Latest Patents
Axel's latest patents include groundbreaking technologies. The first patent involves machine-learning models for extracting and classifying image content. This online system displays items from a catalog and supplements the content with information extracted from images. It performs image processing, such as optical character recognition, to extract text phrases from images. The system then uses a trained model to score these phrases, augmenting the displayed content based on their viability.
The second patent focuses on using a trained model to display user interface elements in a way that increases user engagement. Upon receiving a request for a page of interface elements, the system predicts the likelihood of user engagement with each element. It identifies the optimal incentive amount for each element and ranks them accordingly, enhancing the user experience.
Career Highlights
Axel Mange is currently employed at Maplebear Inc., where he continues to innovate and develop new technologies. His work has had a significant impact on how users interact with online systems, making them more intuitive and engaging.
Collaborations
Axel collaborates with talented individuals in his field, including his coworker Sanchit Gupta. Together, they work on advancing technologies that improve user experiences and streamline processes.
Conclusion
Axel Mange's contributions to machine learning and image processing demonstrate his commitment to innovation. His patents reflect a deep understanding of user engagement and technology, positioning him as a notable inventor in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
