Rick Cheng is a Senior Frontend Developer with 6+ years of experience specializing in Vue (5 years) and React (1 year), currently building frontend systems at Maxnion AI in New Taipei. He has a strong track record delivering high-performance mobile web experiences and complex trading features—contributing to a $200M trading volume at his previous cryptocurrency exchange role. Rick combines deep UI engineering (infinite/virtual scroll, real-time ChartIQ integrations, ECharts) with performance-first practices like Lighthouse CI and main-thread optimization. His background includes national-scale cloud portal work at ASUS (TWCC) with CI/CD, testing, and code-quality tooling, plus earlier Android product development. He also contributes to infrastructure-focused open source work in Apache DolphinScheduler, improving deployment scripts and Kubernetes API updates. With a CS master’s from National Chiao Tung University and roots in applied mathematics, he blends rigorous engineering discipline with hands-on product impact.
7 years of coding experience
9 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at National Chiao Tung University
Bachelor's degree Applied Mathematics, Bachelor's degree Applied Mathematics at National Chung Hsing University
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Role in this project:
DevOps Engineer
Contributions:308 reviews, 35 commits, 173 PRs in 3 months
Contributions summary:Rick's commits primarily focus on improving the operational aspects of the Apache DolphinScheduler project. They have made changes to shell scripts related to setting up SSH configurations and status checks. Additionally, they are involved in updating deprecated Kubernetes APIs within the project. Their contributions show a clear focus on infrastructure, deployment, and system management within the context of a data orchestration platform.
Apache DolphinScheduler is a distributed and extensible workflow scheduler platform with powerful DAG visual interfaces, dedicated to solving complex job dependencies in the data pipeline and providing various types of jobs available out of box.
Contributions:171 pushes, 85 branches in 1 year 10 months
dagdata-pipelineworkflow-scheduler
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