Wang
Visiting Research Scholar at Hong Kong Baptist University
Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolWang is a materials scientist turned software-savvy researcher with 11 years of experience blending experimental materials synthesis and characterization with backend engineering for data-driven systems. Based at Hong Kong Baptist University as a visiting research scholar, he holds a PhD in Materials Science and a strong academic foundation from top Chinese and French institutions. He has led multiple projects from 0 to 1, contributing practical backend implementations using Spring Boot, MyBatis, Redis, Flink and HBase to power real-time recommendation and data-processing pipelines. Comfortable both in the lab and in code, he refactors production systems to improve configurability and reliability while integrating complex data stores and streaming frameworks. His GitHub shows a pragmatic focus on reproducible, deployable examples (including containerized and multi-environment setups) and a persistence reflected in the motto “the revolution is not yet successful.” Colleagues can expect a researcher-developer who bridges physical materials expertise with robust backend engineering to turn experimental insights into scalable systems.
10 years of coding experience
Master's degree, Condensed Matter and Materials Physics, Master's degree, Condensed Matter and Materials Physics at University of Science and Technology of ChinaDoctor of Philosophy - PhD, Materials Science, Doctor of Philosophy - PhD, Materials Science at Université Claude Bernard Lyon 1Bachelor's degree, Engineering Physics/Applied Physics, Bachelor's degree, Engineering Physics/Applied Physics at South China University of Technology
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (19)
hbase10
apache-flink10
redis10
flink-sql10
mybatis10
java10
javas10
spring-boot10
mybatis-plus10
recommender-system9
maven8
database8
kafka8
databases8
sql6
Programming languages (7)
Github contributions (5)
vector4wang/spring-boot-quick
Mar 2017 - Sep 2022
:herb: 基于springboot的快速学习示例,整合自己遇到的开源框架,如：rabbitmq(延迟队列)、Kafka、jpa、redies、oauth2、swagger、jsp、docker、k3s、k3d、k8s、mybatis加解密插件、异常处理、日志输出、多模块开发、多环境打包、缓存cache、爬虫、jwt、GraphQL、dubbo、zookeeper和Async等等:pushpin:
Role in this project:
Back-end Developer
Back-end DeveloperContributions:266 commits, 19 PRs, 338 pushes in 5 years 6 months
Contributions summary:Wang's contributions primarily focused on setting up and configuring a Spring Boot application. They added files like .gitignore and implemented basic entity classes and database mapping interfaces. This includes creating data access objects (DAO) and setting up a basic test environment. The user demonstrated skills in MyBatis integration and working with database-related configurations within a Spring Boot project.
springcloudswagger2j2eevipzookeeper
water8394/flink-recommandSystem-demo
Jul 2019 - Aug 2019
:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。
Role in this project:Back-end Developer
Back-end DeveloperContributions:27 commits, 9 PRs, 9 comments in 1 month
Contributions summary:Wang primarily focused on refactoring and enhancing the backend of the recommendation system. Their contributions included restructuring Redis integration, making it configurable, and addressing issues in the HBase interaction and product retrieval logic. They also implemented and adjusted code related to data processing pipelines within the Flink framework, as seen in modifications to tasks related to product and user data processing. Furthermore, the user added and refactored configurations in the web and flink-2-hbase components.
redisflinkrecommandflink-hbasespark
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