Lund, Sweden

Amanda Högberg

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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2 patents (USPTO):Explore Patents

Title: Amanda Högberg: Innovator in API Management

Introduction

Amanda Högberg is a prominent inventor based in Lund, Sweden. She has made significant contributions to the field of application programming interface (API) management through her innovative patents. With a total of two patents to her name, Amanda is recognized for her expertise in machine learning methods and systems.

Latest Patents

Amanda's latest patents focus on machine learning methods and systems for API management. One of her notable inventions describes machine learning methods that predict the success or failure of API requests. By utilizing historical data from successful and unsuccessful API requests, her models can effectively determine the likelihood of an API request causing issues such as crashes or freezes. Additionally, her other patent outlines methods and systems for API management, where an API management device assesses the operable status of APIs and updates. This device ensures that requests for implementation are allowed or denied based on compliance with established rules.

Career Highlights

Amanda Högberg is currently employed at Qliktech International AB, where she continues to develop her innovative ideas in API management. Her work has positioned her as a key figure in the tech industry, particularly in the realm of machine learning applications.

Collaborations

Amanda collaborates with talented individuals such as Mikael Danielsson and José Francisco Díaz López. These partnerships enhance her research and development efforts, contributing to the advancement of technology in her field.

Conclusion

Amanda Högberg is a trailblazer in the field of API management, with her innovative patents showcasing her expertise in machine learning. Her contributions are shaping the future of technology and improving the efficiency of API systems.

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