Cambridge, United Kingdom

Evgeny Sergeevich Saveliev

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Evgeny Sergeevich Saveliev. Retrieved from https://idiyas.com/inventor/evgeny-sergeevich-saveliev

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Evgeny Sergeevich Saveliev: Innovator in Machine Learning

Introduction

Evgeny Sergeevich Saveliev is a notable inventor based in Cambridge, GB. He has made significant contributions to the field of machine learning, particularly in developing methods that enhance predictive modeling.

Latest Patents

Saveliev holds a patent for an "Auxiliary model for predicting new model parameters." This invention describes a computer-implemented method of training an auxiliary machine learning model to predict a set of new parameters for a primary machine learning model. The primary model is designed to transform from an observed subset of real-world features to a predicted version of those features. He has 1 patent to his name.

Career Highlights

Evgeny Saveliev is currently employed at Microsoft Technology Licensing, LLC, where he applies his expertise in machine learning to drive innovation. His work focuses on improving the efficiency and accuracy of predictive models, which are essential in various applications across industries.

Collaborations

Saveliev has collaborated with talented individuals such as Cheng Zhang and Angus Lamb. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Evgeny Sergeevich Saveliev is a prominent figure in the realm of machine learning, with a focus on enhancing predictive modeling techniques. His contributions continue to influence the field and pave the way for future innovations.

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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