Boulder, CO, United States of America

Anton Dmitriyevich Postnov

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anton Dmitriyevich Postnov. Retrieved from https://idiyas.com/inventor/anton-dmitriyevich-postnov

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Anton Dmitriyevich Postnov: Innovator in Machine Learning for Content Delivery

Introduction

Anton Dmitriyevich Postnov is a notable inventor based in Boulder, CO, specializing in machine learning techniques. He has made significant contributions to the field of content delivery services, focusing on privacy-compliant datasets. His innovative approach aims to enhance user engagement with digital content.

Latest Patents

Postnov holds a patent for a system that utilizes machine learning models to optimize content delivery. The patent, titled "Machine learning techniques for content delivery service," describes a method where two machine learning models are trained on separate privacy-compliant datasets. The system processes user data and digital content data to generate scores that predict user engagement, ultimately selecting the most relevant digital content for users.

Career Highlights

Currently, Anton Postnov is employed at Amazon Technologies, Inc., where he applies his expertise in machine learning to develop advanced content delivery solutions. His work at Amazon reflects his commitment to innovation and improving user experiences through technology.

Collaborations

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Conclusion

Anton Dmitriyevich Postnov is a pioneering inventor whose work in machine learning is shaping the future of content delivery services. His contributions are vital in creating more engaging and privacy-compliant digital experiences.

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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