Dr. Chen is the CTO of Beijing DataPipeline Limited. DataPipeline is a rising startup invested by Baidu Venture and Matrix Partners China. We build DataOps platform that enables companies to access and share their data internally and externally in real-time. We serve customers in retail, industrial and finance sectors, like Starbucks China, GoldWind Technology, Longfor Properties, and HeyTea etc. Dr. Chen is a key member of the OpenMessaging Industrial Advisory Board(a Linux Foundation project aiming to provide a cloud native, vendor-neutral open specification for distributed messaging). In his early career, he worked at China Mobile Research Institute as an algorithm engineer leader and technical manager of the User Behavior Laboratory. Besides big data and message queue technologies, he also has rich experience in building online ML applications, such as recommender systems, auto scoring systems and anomaly detection systems.
Beijing Datapipeline Limited.
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CtoBeijing Datapipeline Limited. Dec 2017 - PresentBeijing City, China
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Vp Of Technology亿瑞互动科技(北京)有限公司 Feb 2015 - Nov 2017Beijing City, China -
Manager Of TechnologyChina Mobile May 2014 - Feb 2015Beijing City, ChinaThe manager of the User Behavior Lab at the China Mobile Research Institute. -
Algorithm EngineerChina Mobile Jul 2010 - May 2014Beijing City, ChinaAlgorithm engineer of User Behavior Lab at the China Mobile Research Institute.
Su Chen Skills
Su Chen Education Details
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Computer Software Engineering -
Computer Software Engineering -
Electrical, Electronics And Communications Engineering
Frequently Asked Questions about Su Chen
What company does Su Chen work for?
Su Chen works for Beijing Datapipeline Limited.
What is Su Chen's role at the current company?
Su Chen's current role is CTO of Beijing DataPipeline Limited..
What schools did Su Chen attend?
Su Chen attended University Of Chinese Academy Of Sciences, University Of Chinese Academy Of Sciences, University Of Science And Technology Of China.
What skills is Su Chen known for?
Su Chen has skills like Enterprise Architecture, Machine Learning, Recommender Systems, Cloud Computing, Java, Linux, Leadership, Management, Anomaly Detection, Natural Language Processing.
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