London, United Kingdom

Matej Hamas

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Lyft, Inc.. Active years: 2024-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matej Hamas. Retrieved from https://idiyas.com/inventor/matej-hamas-i7kdl46r

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Matej Hamas

Introduction

Matej Hamas is a notable inventor based in London, GB. He has made significant contributions to the field of map data curation, holding a total of 2 patents. His work focuses on enhancing the quality assurance processes involved in map data verification.

Latest Patents

One of Matej Hamas's latest patents is titled "Processing map data for human quality check." This invention relates to the curation of map data and presents a method for preparing map data to be reviewed by a data curator for optimal quality assurance. The invention includes a tool designed for data curators to verify map data effectively. The method involves generating multiple interdependent map portions from a global map, identifying portions that require validation, and creating groups of these portions for thorough validation.

Career Highlights

Matej Hamas is currently employed at Lyft, Inc., where he applies his expertise in map data processing. His innovative approach to data curation has positioned him as a valuable asset in the tech industry.

Collaborations

Some of his notable coworkers include Yerzhan Utkelbayev and Luca Del Pero, who contribute to the collaborative environment at Lyft, Inc.

Conclusion

Matej Hamas continues to push the boundaries of innovation in map data curation, making significant strides in quality assurance processes. His contributions are essential in enhancing the reliability of map data for various applications.

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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