This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Amazon Technologies, Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Thiago Goes Arjona: Innovator in Automated Machine Learning
Introduction
Thiago Goes Arjona is a prominent inventor based in Seattle, WA. He has made significant contributions to the field of automated machine learning. His innovative work focuses on creating efficient solutions that streamline the machine learning process.
Latest Patents
Thiago holds a patent for an "Automated machine learning pipeline generation." This patent describes various embodiments of apparatuses and methods for an automated machine learning pipeline service. The service is designed to receive user requests for generating machine learning solutions, along with datasets that contain values of different user variable types. The generator validates the dataset, enriches its values using external data sources, transforms the values based on pre-defined types, and trains a machine learning model. The result is an executable package that generates scores for other data when executed. The service also tests the executable package using testing data and provides results to the user. Thiago has 1 patent to his name.
Career Highlights
Thiago is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in machine learning. His work has been instrumental in advancing the capabilities of automated systems in this field.
Collaborations
Thiago collaborates with talented individuals such as Prince Grover and Christopher Zachariah Jost. Their combined expertise contributes to the success of their projects and innovations.
Conclusion
Thiago Goes Arjona is a key figure in the realm of automated machine learning, with a focus on creating efficient and effective solutions. His contributions are shaping the future of technology in this area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
