Zekai Wang

Haikou City, Hainan Province, China

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Summary

🤩

Rockstar

🎓

Top School

Zekai Wang is a parks and recreation management graduate with four years of practical experience blending tourism operations, project planning, and geographic insight. Based in Haikou, he brings strong communication, coordination, and executive skills, proven by internships in tourism and coursework in urban and rural planning. He is adaptable under pressure and a collaborative team player who quickly integrates into new environments. Uncommonly for his field, Zekai also contributes to open-source backend development—improving stability and batch processing in the notable OpenMLDB project through bug fixes, tests, and optimization features. This mix of domain knowledge in recreation/tourism and hands-on software contributions gives him a pragmatic, systems-oriented perspective on business development and operational design.

4 years of coding experience

Bachelor of Science, PRM, 3.5, Bachelor of Science, PRM, 3.5 at Arizona State University

Bachelor of Science, Human Geography and Urban and Rural Planning, 3.5, Bachelor of Science, Human Geography and Urban and Rural Planning, 3.5 at Hai Nan University

Github Skills (11)

javas10

sql10

java10

scala10

apache-spark9

database-administration8

hdfs8

databases8

database8

admin8

zookeeper7

Programming languages (2)

C++Scala

Github contributions (5)

4paradigm/OpenMLDB

Jul 2021 - Dec 2021

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Role in this project:

Back-end Developer

Contributions:55 reviews, 172 commits, 36 PRs in 4 months

Contributions summary:Zekai focused on bug fixes and improvements to the OpenMLDB batch processing system. Their contributions involved correcting spelling errors in code and documentation, updating classes, and addressing issues in the HDFS and SQL utilities. They also added unit tests for utilities and implemented the support for sorting within the plan and for column query with same name in window skew optimization, improving the system's stability and functionality.

machine-learning-databasetrainingfeature-storein-memory-databasefeature-extraction

Kanekanekane/OpenMLDB

Jul 2021 - Dec 2021

OpenMLDB is an open-source database that is designed and optimized to enable data integrity & efficiency for machine learning driven applications. In addition to 10x faster ML application landing experience, OpenMLDB provides unified computing & storage engines to reduce the complexity and cost of development and operation.

Contributions:182 pushes, 81 branches in 4 months

operation10xcomplexitydata-sciencesql

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