Chicago, IL, United States of America

Stephanie Margaret Pirman

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.2

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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4 patents (USPTO):Explore Patents

Title: Stephanie Margaret Pirman: Innovator in Data Pipeline Technology

Introduction

Stephanie Margaret Pirman is a notable inventor based in Chicago, IL (US). She has made significant contributions to the field of data management and analysis, holding a total of 4 patents. Her work focuses on developing systems and methods that enhance the efficiency and reliability of data pipelines.

Latest Patents

Among her latest patents is a system and method for automated data pipeline degradation detection. This innovative method analyzes dependency information for a first data store and determines if a data pipeline is functioning optimally. If the logs generated by the data stores deviate from established thresholds, the system identifies the data pipeline as degraded. Another significant patent is a system and method for automated data item degradation detection. This method involves analyzing logs generated by data stores to assess their format and functionality, ultimately generating reports on the health of the data stores.

Career Highlights

Stephanie currently works at Bank of America Corporation, where she applies her expertise in data management. Her role involves collaborating with teams to implement innovative solutions that improve data processing and analysis. Her contributions have been instrumental in enhancing the bank's data infrastructure.

Collaborations

Stephanie has worked alongside talented colleagues, including Eric Joseph DePree and Jeffrey Wayne Texada. Their collaborative efforts have led to advancements in data technology and improved operational efficiencies.

Conclusion

Stephanie Margaret Pirman is a pioneering inventor whose work in data pipeline technology has made a significant impact in her field. Her patents reflect her commitment to innovation and excellence in data management.

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