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尼德兰 南荷兰省 斯希丹

比利时 维兰德伦 鲁汶

Brussels Area, Belgium

●Technical and Project leader of Fidea insurance fast claim project. I managed 20 developers in China, designed the system architecture, and selected the right technologies for this project. We created the project by Spring cloud microservice, Zookeeper, Nginx, Docker, Java for Android, Swift for iOS, MySQL, and web CRM system● Responsible for the IT infrastructure and operations of Anbang Belgium Holding. work plans, IT budgets IT specifications. choose vendors, make contracts.● Participate in important project decisions of IT departments of subsidiaries.● Leading Anbang International IT Integration projects.

Brussels Area, Belgium

Salesforce and Java project for Renault Belgium CRM project.

Turnhout

Java enterprise project for UbenchInternational, the project is used for automotive leasing company and repair factory. I created many functions from front-end to back-end and even for mobile device. Created iOS app UBDrive.Skills: Java, JSF(Primefaces), Javascript/JQuery, Hibernate, Oracle(SQuirrel SQL), Webservice, websocket(Atmosphere), eclipse, soap(SoapUI),SVN, Glassfish 3.1.2, Swift, Obj-C, webRTC

Leuven, Belgium

FP7, the top R&D Projects in Europe. My boss is Prof. dr. ir. Herman Bruyninckx. he was the Vice-President Research of the euRobotics association. My main assignment was to find the solution of developing a large-scale data at low-latency transmission and storage/shared platforms for artificial intelligence robots. After testing most of the popular Big data solutions like Hadoop, Hive, HBase, MapR, we used the HDF5 to store data and iRODS to build the distributed storage system. Personally, I overcome technical challenges include modifying the underlying related code for low-latency transmission of data from ARM system memory to back-end servers; improving parallel data read performance. Which needs looking inside the HDF5’s source code, modify and create the code as we want.Technical environment: C/C++, Java, Linux (Ubuntu/CentOS), HDF5, iRODS, 0MQ, Docker

Brussels Area, Belgium

This project was initiated by the UCLouvain university statistics college. The purpose is to use the AI technology automatically classify whether a website is a business website. Following the classic classification steps:● Create a web crawler by Java.● Select 200 websites by hand, classify the types and download all the content.● Process the content by an NLP java SDK named Luxid. Then generate a table by the featuresfrom the NLP SDK.● Processing the table by SVM from a Java machine learning lib named Weka. Get web-siteclassification.Technical environment: Java, Hibernate, Spring, MySQL, Lucene, Weka, SAS, Luxid, UIMA, Semantic web,Ontology

Antwerp Area, Belgium

Create a C/S system for KONE with large team. The system includes UMS(user management system),PDM(Product data management) and HRMS(Human Resource Management System).Technical environment:

Master Of Science (Ms), Computer Science

Education record