Bengaluru, India

Aminish Sharma

USPTO Granted Patents = 7 

 

Average Co-Inventor Count = 3.6

ph-index = 2

Forward Citations = 16(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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7 patents (USPTO):Explore Patents

Title: Innovations by Aminish Sharma

Introduction

Aminish Sharma is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of technology, holding a total of 7 patents. His work primarily focuses on automating workflows and enhancing vendor recommendations through machine learning.

Latest Patents

One of Aminish's latest patents is titled "System and method for leveraging a completeness graph." This invention outlines a method of automating a workflow by obtaining a completeness graph that includes conditions applied to attributes of an entity. The method determines if a missing attribute subset lacks a corresponding value and modifies the state of the entity by assigning a value to the missing attribute.

Another notable patent is "Applying transactional locks in distributed transactions." This patent provides techniques for recommending vendors using machine learning models. The method involves generating a dependency graph based on microservices, computing a complexity score for each microservice, and applying transactional locks on those that meet a specific complexity threshold.

Career Highlights

Aminish Sharma is currently employed at Intuit, Inc., where he continues to innovate and develop new technologies. His work has had a significant impact on improving workflow automation and vendor management processes.

Collaborations

Aminish has collaborated with several talented individuals, including Manish Ramesh Shah and Anoop Makwana. These collaborations have contributed to the successful development of his patented technologies.

Conclusion

Aminish Sharma's contributions to technology through his patents demonstrate his innovative spirit and commitment to advancing the field. His work continues to influence automation and machine learning applications in various industries.

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