Jasmine So is a Data Engineer with a decade of hands-on experience building backend systems and data solutions across enterprise and nonprofit environments in Hong Kong. Currently at IBM, she blends data engineering with practical machine learning and ETL expertise developed through roles at HKTDC, Mirum, and as a Data Scientist for Mother's Choice. Her contributions to the Apache RocketMQ project—optimizing proxy and broker components and fixing critical edge-case bugs—signal solid experience with cloud-native messaging and production-grade backend reliability. She has implemented end-to-end analytics dashboards, automated testing and large-data processing pipelines, and has used languages from Python and C++ to SQL in real-world projects. Comfortable moving between product-facing analytics and core infrastructure, she brings a pragmatic eye for observability, configuration management, and performance tuning. Based in Hong Kong with a University of Washington data science background, she combines regional domain knowledge with open-source savvy to deliver scalable, production-ready systems.
10 years of coding experience
2 years of employment as a software developer
Undergraduate Data Science, Undergraduate Data Science at University of Washington
Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.
Role in this project:
Back-end Developer
Contributions:6 reviews, 18 PRs, 30 comments in 4 months
Contributions summary:Jasmine primarily contributed to optimizing and fixing issues within the Apache RocketMQ project, focusing on the proxy and broker components. Their work included optimizing code, fixing null pointer exceptions, and improving logging in the proxy service. They also worked on schedule message service code and logic, indicating a focus on backend systems, and configuration management.
Contributions:50 PRs, 1148 pushes, 84 branches in 1 year 5 months
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