Gdansk, Poland

Krzysztof Barcewicz

This inventor holds 1 USPTO granted patent. Top assignee: Marvell Asia Pte., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Krzysztof Barcewicz. Retrieved from https://idiyas.com/inventor/krzysztof-barcewicz

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Krzysztof Barcewicz: Innovator in Secure Data Provisioning

Introduction

Krzysztof Barcewicz is a notable inventor based in Gdansk, Poland. He has made significant contributions to the field of secure data provisioning, particularly in the context of training models. His innovative approach addresses the challenges associated with data security and model training.

Latest Patents

Krzysztof holds a patent titled "Securely providing data from a source entity for training a model of a model entity." This patent outlines a system that includes a source entity with at least one processor. The system is designed to receive data configuration instructions for training a model and transform unprepared data from various sources into prepared data. The prepared data is then packaged with a signature object for each data unit, utilizing specialized circuitry for quantum-resistant computational operations.

Career Highlights

Krzysztof is currently employed at Marvell Asia Pte., Ltd., where he continues to develop innovative solutions in data security. His work is characterized by a commitment to enhancing the integrity and security of data used in model training.

Collaborations

Krzysztof collaborates with talented individuals such as Steven Craig Barner and Maciej Koprowski. These partnerships contribute to the advancement of technology in their respective fields.

Conclusion

Krzysztof Barcewicz is a pioneering inventor whose work in secure data provisioning is shaping the future of model training. His contributions are vital in ensuring data security in an increasingly digital world.

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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