Hang Zhang

Title: Innovations of Hang Zhang in Automated Machine Learning

Introduction

Hang Zhang is an accomplished inventor based in San Carlos, California. He has made significant contributions to the field of machine learning, particularly through his innovative patent that simplifies the process of creating machine learning models.

Latest Patents

Hang Zhang holds a patent for "Code-free automated machine learning." This patent describes techniques that allow users to train high-quality machine learning models and pipelines without the need to write code. By simply providing a training dataset to a code-free machine learning service, users can benefit from an automated process that deploys machine learning orchestration functions and manages storage locations. The service is designed to invoke an AutoML process automatically when modifications are made to the storage bucket, enabling the training of multiple machine learning model variants. The resulting models and their associated metrics can be provided to users, deployed behind an endpoint, or utilized for generating inferences.

Career Highlights

Hang Zhang is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in the realm of machine learning. His work focuses on enhancing accessibility and efficiency in machine learning processes, making it easier for users to leverage advanced technologies.

Collaborations

Some of Hang Zhang's notable coworkers include Jonas Mueller and Tatsuya Arai, who contribute to the collaborative environment at Amazon Technologies, Inc. Their combined expertise fosters innovation and drives the development of cutting-edge technologies.

Conclusion

Hang Zhang's contributions to automated machine learning represent a significant advancement in the field, making it more accessible to users without programming expertise. His innovative patent and ongoing work at Amazon Technologies, Inc. highlight his role as a key figure in the evolution of machine learning technologies.