Weiwei Jin

Title: Innovations by Weiwei Jin - A Trailblazer in Network Data Processing

Introduction

Weiwei Jin is an innovative inventor based in Shanghai, China, recognized for his contributions to network data processing. With three patents to his name, Jin's work primarily focuses on enhancing the efficiency of handling large volumes of network data. His recent inventions have propelled advancements in the field, playing a crucial role in how data is managed and processed.

Latest Patents

Weiwei Jin's latest patent relates to "Processing High Volume Network Data." This invention discloses a system featuring a computer-readable storage medium that stores at least one program and outlines a computer-implemented method for event messaging over a network. The patent includes a subscription interface that receives data indicative of a subscription request for sessionized data. It involves an allocation module that allocates a sessionizer bank linked to the subscription request, alongside a messaging interface module that provisions identifiers linked to respective processing engines of the sessionizer bank. This innovative approach allows the messaging interface module to register the allocated sessionizer bank to process event messages and generate sessionized data effectively.

Career Highlights

Currently, Weiwei Jin is employed at eBay, Incorporated, where he applies his expertise in technology and data processing. His career at eBay has been characterized by a dedication to improving network communication and data handling capabilities, ultimately striving for excellence in processing large-scale data.

Collaborations

Throughout his career, Jin has collaborated with notable colleagues, including Sharad R Murthy and Bhaven Avalani. These professional relationships have further enriched his work and contributed to technological advancements in network data processing.

Conclusion

Weiwei Jin exemplifies innovation in the realm of network data processing through his inventive patents. With a strong foundation in technology and collaboration with esteemed coworkers, he continues to push the boundaries of what is possible in managing high-volume network data. His contributions not only improve current systems but also pave the way for future advancements in this critical field.