San Francisco, CA, United States of America

Aleksander Jan Sobczyk

This inventor holds 1 USPTO granted patent. Top assignee: Blackrock Finance, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aleksander Jan Sobczyk. Retrieved from https://idiyas.com/inventor/aleksander-jan-sobczyk

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Aleksander Jan Sobczyk

Introduction

Aleksander Jan Sobczyk is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning, particularly in the area of clustering unstructured data. His innovative approach has the potential to enhance data organization and accessibility across various computing networks.

Latest Patents

Sobczyk holds a patent for a system that utilizes machine learning for clustering unstructured data. The patent describes systems, methods, and computer program products designed to cluster data in a computing network. Different computing devices generate data structures with various attributes. The machine learning system clusters these data structures based on shared attributes. For instance, data structures containing image data are clustered according to similar images, while those with network configuration data are grouped by the same configurations. Additionally, textual documents are clustered based on their content or corresponding abstracts. This patent showcases Sobczyk's innovative approach to data management.

Career Highlights

Currently, Sobczyk is employed at Blackrock Finance, Inc., where he applies his expertise in machine learning and data analysis. His work focuses on developing advanced systems that improve data processing and decision-making within financial contexts. His contributions have been instrumental in enhancing the efficiency of data handling in his organization.

Collaborations

Sobczyk collaborates with talented professionals in his field, including Ananth Narayan Madhavan and Jason Michael Ribando. These collaborations foster an environment of innovation and creativity, allowing for the development of cutting-edge solutions in machine learning and data clustering.

Conclusion

Aleksander Jan Sobczyk is a pioneering inventor whose work in machine learning has the potential to transform how unstructured data is clustered and utilized. His contributions at Blackrock Finance, Inc. and his innovative patent reflect his commitment to advancing technology in meaningful ways.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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