Milwaukee, WI, United States of America

Kirill Shmilovich

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kirill Shmilovich. Retrieved from https://idiyas.com/inventor/kirill-shmilovich

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Kirill Shmilovich - Innovator in Machine Learning and Atomic Systems

Introduction

Kirill Shmilovich is a notable inventor based in Milwaukee, WI (US). He has made significant contributions to the field of machine learning, particularly in predicting electronic structures of atomic systems. His innovative approach has garnered attention in the scientific community.

Latest Patents

Kirill holds a patent for an "Orbital Mixer Machine Learning Method for Predicting an Electronic Structure of an Atomic System." This patent showcases his expertise in integrating machine learning techniques with atomic structure analysis. He has 1 patent to his name, reflecting his commitment to advancing technology in this area.

Career Highlights

Kirill is currently employed at Robert Bosch, a leading global supplier of technology and services. His role at the company allows him to work on cutting-edge projects that push the boundaries of innovation. His work is characterized by a strong focus on practical applications of machine learning in engineering.

Collaborations

Kirill collaborates with Ivan Batalov, a fellow innovator in the field. Together, they explore new methodologies and technologies that enhance their research and development efforts.

Conclusion

Kirill Shmilovich is a prominent figure in the realm of machine learning and atomic systems. His contributions through patents and collaborations highlight his dedication to innovation and technology advancement.

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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