Kildeer, IL, United States of America

Mayank K Shah

This inventor holds 1 USPTO granted patent. Top assignee: Evernorth Strategic Development, Inc.. Active years: 2026.


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: Innovations by Mayank K Shah

Introduction

Mayank K Shah is an accomplished inventor based in Kildeer, IL (US). He has made significant contributions to the field of machine learning, particularly in the area of automated selection of executable sequences. His innovative work has led to the development of a patented technology that enhances the efficiency of database management systems.

Latest Patents

Mayank holds a patent for "Machine learning models for automated selection of executable sequences." This invention involves a computer system that utilizes processor hardware to execute instructions from memory hardware. The system is designed to train a machine learning model to generate an entity expiration likelihood output. It processes multiple database entities and determines which ones have the highest likelihood of expiration. The system then generates a feature list based on output impact scores, allowing for the automatic selection of executable sequences tailored to specific database entities. This patent showcases Mayank's expertise in integrating machine learning with practical applications in database management.

Career Highlights

Mayank is currently employed at Evernorth Strategic Development, Inc., where he continues to innovate and develop cutting-edge technologies. His work at the company focuses on leveraging machine learning to improve operational efficiencies and decision-making processes.

Collaborations

Mayank collaborates with talented professionals such as Chelsea Drake and Robert Monzyk. Together, they work on various projects that aim to push the boundaries of technology and enhance the capabilities of machine learning systems.

Conclusion

Mayank K Shah is a notable inventor whose work in machine learning has led to significant advancements in automated database management. His patented technology exemplifies the potential of machine learning to transform traditional processes.

Profile summary based on public USPTO records.
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