马睿
About 马睿
马睿 is a product manager at 平安金服 in Shenzhen, Guangdong, China, where he has worked since 2020. He holds an MBA in Information Technology from Hofstra University and has experience in knowledge graph engineering and project management.
Work at 平安金服
Currently, the individual serves as a 产品经理 at 平安金服, a role held since 2020. Based in 深圳, 广东, 中国, they have contributed to the organization for four years. Their responsibilities include standardizing and automating the production process of general financial knowledge, integrating it into the big data platform. This initiative aims to enhance production and management efficiency while reducing costs.
Education and Expertise
The individual holds an 工商管理硕士 (MBA) in 信息技术 from 霍夫斯特拉大学, where they studied from 2011 to 2013. Prior to this, they earned a 工程学士 in 电子信息系统 from 北京化工大学, completing their studies from 2007 to 2011. This educational background provides a solid foundation in both technology and management.
Previous Experience at 亚马逊
Before joining 平安金服, the individual worked as a 知识图谱工程师 at 亚马逊 from 2018 to 2020 in Santa Barbara, California. During this time, they implemented a multimedia knowledge base incentive module inspired by blockchain technology. This project aimed to increase user-generated content community size and activity.
Career Background
The individual's career includes various roles in technology and project management. They worked as a 客户运维项目经理 at Curvature from 2015 to 2018 and as a 物流工程师 at CSU Industries from 2013 to 2014. Additionally, they served as a 设备运维高级助理 at 霍夫斯特拉大学 from 2011 to 2013, where they gained valuable experience in operational support.
Project Leadership and Collaboration
In their current role and previous positions, the individual has led and collaborated on various projects. They coordinated with third-party suppliers to acquire external resources for new product ideas and led the iteration of an AI knowledge governance platform. These efforts focused on enhancing the efficiency and quality of business knowledge data processing for AI trainers.