Vilnius, Lithuania

Tautvydas Eidietis

This inventor holds 1 USPTO granted patent. Top assignee: Bentley Systems, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tautvydas Eidietis. Retrieved from https://idiyas.com/inventor/tautvydas-eidietis

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: Tautvydas Eidietis: Innovator in Machine Learning Customization

Introduction

Tautvydas Eidietis is a notable inventor based in Vilnius, Lithuania. He has made significant contributions to the field of machine learning, particularly in customizing models to meet specific user needs. His innovative approach simplifies the complexities of machine learning for end-users.

Latest Patents

Eidietis holds a patent for "Techniques for customizing a machine learning model for the source data and needs of a specific user." This patent outlines methods for providing a 'black box' service, allowing users to input source data and make high-level selections without needing to code. The techniques are versatile and applicable to various machine learning model architectures and pipelines. He has 1 patent to his name.

Career Highlights

Tautvydas Eidietis is currently employed at Bentley Systems, Inc., where he continues to develop innovative solutions in the realm of machine learning. His work focuses on enhancing user experience by making advanced technologies more accessible.

Collaborations

Eidietis collaborates with Kaustubh Page, contributing to the advancement of machine learning technologies. Their partnership fosters innovation and drives the development of user-friendly solutions.

Conclusion

Tautvydas Eidietis is a pioneering inventor whose work in machine learning customization is shaping the future of technology. His contributions are making complex systems more accessible to users, thereby enhancing the overall user experience.

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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