Kirkland, WA, United States of America

Kristin Quel Lien


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Kristin Quel Lien: Innovator in Package Similarity Prediction Systems

Introduction

Kristin Quel Lien is a notable inventor based in Kirkland, WA (US). She has made significant contributions to the field of package similarity prediction systems. Her innovative work at Amazon Technologies, Inc. has led to the development of a unique patent that enhances the efficiency of package identification.

Latest Patents

Kristin holds a patent for a "Package Similarity Prediction System." This invention describes techniques for predicting a manufacturer and/or contents of a received package. The system utilizes images captured from cameras to generate a visual vector for the package within a vector space of package attributes. Additionally, it incorporates physical attributes of the package to determine a subset of candidate packages by comparing these attributes to those of historically received packages. A ranking of these candidate packages is established by identifying distances in the vector space, ultimately allowing for the retrieval of data associated with a specific package.

Career Highlights

Kristin Quel Lien has established herself as a key innovator at Amazon Technologies, Inc. Her work focuses on improving package identification processes, which is crucial for logistics and supply chain management. With her expertise, she has contributed to advancements that streamline operations and enhance customer satisfaction.

Collaborations

Kristin collaborates with talented individuals such as Huinan Ren and Nicole Yoshino. These partnerships foster a creative environment that drives innovation and leads to the development of cutting-edge technologies.

Conclusion

Kristin Quel Lien is a pioneering inventor whose work in package similarity prediction systems exemplifies the intersection of technology and logistics. Her contributions at Amazon Technologies, Inc. highlight the importance of innovation in enhancing operational efficiency.

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