Munich, Germany

Jana Gicheva Makreshanska

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Sap Se. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jana Gicheva Makreshanska. Retrieved from https://idiyas.com/inventor/jana-gicheva-makreshanska

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jana Gicheva Makreshanska: Innovator in Data Lakehouse Transactions

Introduction

Jana Gicheva Makreshanska is a prominent inventor based in Munich, Germany. She has made significant contributions to the field of data management, particularly in the area of transaction processing within data lakehouses. Her innovative approach has garnered attention in the tech community.

Latest Patents

Jana holds a patent for "Multi-table and multi-query transactions in data lakehouses." This invention involves a transaction targeting an object store that employs an open table format (OTF). The database execution engine detects the transaction and determines which OTF enhancement levels to apply. Subsequently, it processes the transaction with the applied enhancement levels and returns the result to a computing device. This patent showcases her expertise in enhancing data processing efficiency.

Career Highlights

Jana is currently employed at SAP SE, a leading software company known for its enterprise resource planning solutions. Her role at SAP allows her to work on cutting-edge technologies that drive innovation in data management.

Collaborations

Some of her notable coworkers include Tobias Goetz and Daniel Ritter, who contribute to her projects and enhance the collaborative environment at SAP.

Conclusion

Jana Gicheva Makreshanska is a trailblazer in the field of data lakehouse transactions, with her patent reflecting her innovative spirit and technical expertise. Her work continues to influence the future of data management technologies.

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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