Seattle, WA, United States of America

Jan Dean Larroza Catarata


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Jan Dean Larroza Catarata: Innovator in Data Storage Solutions

Introduction

Jan Dean Larroza Catarata is an accomplished inventor based in Seattle, WA (US). He has made significant contributions to the field of computing, particularly in optimizing data access through innovative algorithms. His work is recognized for its potential to enhance the efficiency of data storage systems.

Latest Patents

Jan Dean Larroza Catarata holds a patent for an "Optimal-path finding algorithm for data on storage media." This invention involves a computing system that generates a directed graph to access data stored in multiple locations or blocks of a data storage device or system. The algorithm determines cost values for various paths between nodes, which represent blocks or subsets of data. By combining nodes with cost values below a certain threshold, the system can create a master path that optimally links multiple paths between a start node and an end node. This approach minimizes computational complexity while ensuring efficient data access.

Career Highlights

Jan is currently employed at Amazon Technologies, Inc., where he applies his expertise in data storage solutions. His innovative approach to algorithm design has positioned him as a valuable asset in the tech industry. With a focus on enhancing data retrieval processes, Jan continues to push the boundaries of what is possible in computing.

Collaborations

Jan has collaborated with talented individuals such as Rishabh Animesh and Siddharth Shah. Their combined efforts contribute to the advancement of technology and innovation within their field.

Conclusion

Jan Dean Larroza Catarata is a notable inventor whose work in data storage algorithms exemplifies the intersection of technology and innovation. His contributions are paving the way for more efficient data management solutions in the computing industry.

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