Unionville, Canada

Ende Jin

USPTO Granted Patents = 1 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Ende Jin: Pioneering Dynamic Tensor Technologies

Introduction

Ende Jin is an accomplished inventor based in Unionville, California, renowned for his contributions to the field of software verification and dynamic tensor technology. With one patent to his name, Jin has demonstrated a strong commitment to driving innovation in the tech industry.

Latest Patents

Ende Jin's notable patent, titled "Systems, methods and media for dynamically shaped tensors using liquid types," outlines an advanced approach for verifying software. The invention leverages a liquid type system within programming languages to enable the definition of tensor variables that possess dynamic dimensionality and shape, which can be determined at runtime. This innovative method also incorporates a static type verification system that ensures accuracy at compile time, enhancing both robustness and flexibility in software development.

Career Highlights

Ende Jin is currently employed at Huawei Technologies Co., Limited, where he applies his expertise in software engineering and programming languages. His work at Huawei emphasizes the development of cutting-edge technologies that address complex challenges in the realm of software integrity.

Collaborations

Throughout his career, Jin has collaborated with talented professionals, including his coworker, Kai-Ting Amy Wang. These partnerships have fostered an environment of creativity and innovation, allowing for the exploration of new ideas and the advancement of technology.

Conclusion

Ende Jin stands as a remarkable figure in the realm of invention, with his patent reflecting a significant leap forward in how companies can manage and verify their software products. As he continues to work with industry-leading organizations like Huawei Technologies, Jin's contributions will undoubtedly play a critical role in shaping the future of software engineering and dynamic tensor utilization.

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