Shuo Wang is a front-end engineering leader with 8 years of experience, currently serving as Front-end Manager at Meituan in Beijing, with deep expertise in JavaScript, Vue, HTML5 and CSS and solid familiarity with React and Node.js. He prioritizes code quality, attention to detail, and long-term front-end craftsmanship while also bringing practical knowledge of SEO and web security. His background spans full-stack delivery—building 20+ CMS projects—and senior front-end roles in enterprise settings, reflecting both product and implementation experience. Unusually for a front-end lead, he has contributed to the Apache Doris analytics database, implementing timestamp features, unit-test fixes and a partition prune V2 that improved query performance, signaling a strong grasp of backend and database internals. Educated in electronic and information engineering and holding a master’s in information systems from George Washington University, he blends academic rigor with production-focused engineering.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (BE), Electronic and Information Engineering, Bachelor of Engineering (BE), Electronic and Information Engineering at Capital Normal University
Master's Degree, Information system Technology, 3.88/4.0, Master's Degree, Information system Technology, 3.88/4.0 at The George Washington University
Apache Doris is an easy-to-use, high performance and unified analytics database.
Role in this project:
Back-end Developer & Database Engineer
Contributions:184 reviews, 34 commits, 42 PRs in 1 year 5 months
Contributions summary:Shuo contributed to the development of Apache Doris, focusing on core back-end functionalities. They implemented a new FE function related to timestamps and added unit tests to validate it. Additionally, they fixed a null pointer exception (NPE) in the FE unit test environment and implemented a V2 version of the partition prune algorithm, enhancing query performance. These contributions demonstrate a strong understanding of database internals and query optimization within a data warehousing context.
Contributions:36 pushes, 9 branches in 2 years 11 months
spark-mlapachebig-datasparkscala
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