Weijia Mao

Title: Weijia Mao: Innovator in Digital Survey Technologies

Introduction

Weijia Mao is a notable inventor based in Seattle, WA, who has made significant contributions to the field of digital survey technologies. With a total of two patents to his name, Mao's work focuses on enhancing the efficiency and effectiveness of digital surveys through innovative systems and methods.

Latest Patents

Mao's latest patents include "Determining and applying attribute definitions to digital survey data to generate survey analyses." This patent relates to systems and methods for applying attribute definitions to various survey data, enabling the generation of insightful survey analyses. The disclosed systems intelligently determine attribute definitions based on user input, associated survey templates, and analysis of the text of digital surveys.

Another significant patent is "Systems and methods for achieving session stickiness for stateful cloud services with non-sticky load balancers." This invention provides a framework for initiating stateful sessions in cloud applications, ensuring that session requests are efficiently managed across server clusters. The systems and methods outlined in this patent enhance the reliability and performance of cloud services.

Career Highlights

Throughout his career, Weijia Mao has worked with prominent companies such as Qualtrics, LLC and Microsoft Technology Licensing, LLC. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of digital surveys and cloud services.

Collaborations

Mao has collaborated with talented individuals in his field, including Myung Ryul Jang and Sean Bergam. These collaborations have contributed to the advancement of his projects and the successful implementation of his patented technologies.

Conclusion

Weijia Mao is a distinguished inventor whose work in digital survey technologies and cloud services has made a lasting impact. His innovative patents and career achievements reflect his dedication to enhancing the efficiency of digital data analysis.