Hjärup, Sweden

Pawel Rafal Krupinski

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Qliktech International Ab. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Pawel Rafal Krupinski. Retrieved from https://idiyas.com/inventor/pawel-rafal-krupinski

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

USPTO Granted Patents = 3 

% Patents Active = 66.7

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023-2026

Loading Chart...
3 patents (USPTO):Explore Patents

Title: Pawel Rafal Krupinski: Innovator in Data Aggregation Technologies

Introduction

Pawel Rafal Krupinski is a notable inventor based in Hjärup, Sweden. He has made significant contributions to the field of data aggregation technologies, holding 3 patents that showcase his innovative approach to complex data models.

Latest Patents

His latest patents include methods and systems for indexlet-based aggregation. These patents provide methods for traversing a data model with multiple workers to generate virtual records. Each aggregator receives a virtual record, evaluates a hypercube function, and determines a hash based on that record. The virtual records, based on their respective hash values, are stored by the aggregators, enhancing the efficiency of data processing.

Career Highlights

Pawel is currently employed at Qliktech International Ab, where he continues to develop innovative solutions in data management. His work focuses on improving the performance and scalability of data aggregation systems, making significant strides in the industry.

Collaborations

He collaborates with talented coworkers such as Johan Nilsson and Khoa Tan Nguyen, contributing to a dynamic and innovative work environment.

Conclusion

Pawel Rafal Krupinski is a distinguished inventor whose work in data aggregation technologies is paving the way for advancements in the field. His patents reflect a deep understanding of complex data systems and a commitment to innovation.

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]
Loading…