Seattle, WA, United States of America

Mateusz Haligowski


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Innovations by Mateusz Haligowski

Introduction

Mateusz Haligowski is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of technology, particularly in the area of workflow visualization. His innovative approach has led to the development of a unique patent that enhances the understanding and management of workflows.

Latest Patents

Mateusz holds a patent for a "Process visualization platform." This patent describes methods, apparatuses, and systems for providing visualizations of workflows. The technology allows for the collection and aggregation of data associated with the successes and failures of individual components within workflows. This capability provides an overview of workflow operations and enables software developers to troubleshoot issues effectively. The graphical user interface (GUI) visualizes status indications of steps, helping to identify faults. By aggregating workflow data across numerous workflows, users can quickly assess overall operations and pinpoint areas needing improvement. He has 1 patent to his name.

Career Highlights

Mateusz is currently employed at Amazon Technologies, Inc., where he applies his expertise in developing innovative solutions. His work focuses on enhancing the efficiency and effectiveness of workflows through advanced visualization techniques.

Collaborations

He collaborates with talented individuals such as Pablo Alberto De Stefani Casanova and Ramakanthachary S Gottumukkala, contributing to a dynamic and innovative work environment.

Conclusion

Mateusz Haligowski's contributions to workflow visualization technology exemplify the impact of innovation in the tech industry. His patent and collaborative efforts at Amazon Technologies, Inc. highlight his commitment to improving operational efficiencies through advanced methodologies.

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