Jersey City, NJ, United States of America

Jinhua Ma

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Electrifai Opco, LLC. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Jinhua Ma: Innovator in Machine Learning Applications

Introduction

Jinhua Ma is a prominent inventor based in Jersey City, NJ (US). He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on systems and methods for generating and deploying machine learning applications, showcasing his expertise in this rapidly evolving area.

Latest Patents

Jinhua Ma holds a patent titled "Systems and methods for generating and deploying machine learning applications." This patent describes a method that involves receiving data associated with a business, processing it according to a common data attribute schema, and generating feature values for machine learning models. The patent emphasizes the importance of utilizing pre-existing software codes to implement an ML data processing pipeline, ultimately enhancing the efficiency of machine learning applications.

Career Highlights

Jinhua Ma is currently employed at Electrifai Opco, LLC, where he continues to develop innovative solutions in machine learning. His work at Electrifai Opco, LLC reflects his commitment to advancing technology and improving business processes through intelligent applications.

Collaborations

Jinhua collaborates with talented individuals such as LuMing Wang and Shahin Rahman, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Jinhua Ma's contributions to machine learning applications highlight his role as a key inventor in the field. His patent and ongoing work at Electrifai Opco, LLC demonstrate his dedication to advancing technology and improving business practices.

Profile summary based on public USPTO records.
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