Ran Xu

Title: The Innovative Contributions of Ran Xu

Introduction

Ran Xu is a notable inventor based in Austin, TX, who has made significant contributions to the field of technology through his innovative patents. With a total of 2 patents, he has developed systems and methods that enhance the efficiency of machine learning models and data processing.

Latest Patents

One of Ran Xu's latest patents is titled "System, method, and computer program product for generating code to retrieve aggregation data for machine learning models." This invention provides a system that includes at least one processor programmed to receive an XML data file containing data associated with input parameters of a machine learning model. The system generates a code generation template based on this data, which includes keys associated with transaction aggregates for user accounts. The executable code generated by this system retrieves transaction aggregate data effectively.

Another significant patent is the "Metadata-driven distributed dynamic reader and writer." This method allows for the processing of text files defined in various format types without a reference schema. It involves receiving description files that outline the format types and dynamically generating reader engines at run-time to extract data based on the identified data structure. The output file generated contains the extracted data, showcasing the innovative approach to data handling.

Career Highlights

Ran Xu is currently employed at Visa International Service Association, where he applies his expertise in technology and innovation. His work focuses on developing advanced systems that improve data processing and machine learning capabilities.

Collaborations

Ran has collaborated with talented coworkers, including Hongqin Song and Yu Gu, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Ran Xu's contributions to technology through his patents demonstrate his commitment to innovation and excellence in the field. His work continues to influence advancements in machine learning and data processing, making him a valuable asset in the tech industry.