Lei Jiang is a data mining researcher with nine years at Tencent, focused on recommender systems and large-scale data mining methods. He holds both bachelor’s and master’s degrees in Computer Science from Northwestern Polytechnical University and combines research rigor with production engineering. Skilled in Java, C/C++, Matlab/SPSS/R and database operations, he also contributes to open-source MySQL automation tooling that streamlines deployment, backup, HA, and monitoring for distributed clusters. Based in Shenzhen, he pairs hands-on backend and DevOps experience with algorithmic insight to deliver scalable, maintainable systems. Outside work he applies analytical thinking to independent investing and runs a lively household as a father of two, suggesting a practical, outcome-oriented approach to complex problems.
9 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Northwestern Polytechnic University (CN)
Contributions:439 commits, 367 pushes, 1 branch in 4 years 8 months
Contributions summary:Jiang primarily contributed to the development and maintenance of tools related to MySQL administration and automation. Their work included adding features for database maintenance, such as purging binary logs and finding tables without primary keys. They also implemented configuration scripts for automating MySQL setups, including user creation and replication configuration, and also configurations for zabbix. Furthermore, the user updated the documentation and configuration files related to the project.
Contributions:9 releases, 269 commits, 2 PRs in 3 years 7 months
sqldatabasemysql
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