Junyu Jiang
Hangzhou City, Zhejiang, China
Summary
🤩
RockstarJiang Yu is a specialist in distributed systems and big data with 9 years of experience and over five years focused deeply on the Hadoop ecosystem, real-time streaming, OLAP, and Spark/Scala. He has driven core Hadoop improvements and large-scale production systems at Sina—optimizing HDFS, YARN, job schedulers, and building a real-time streaming layer that handles massive log ingestion and sub-100ms profile queries. At Alibaba Cloud he designed and tuned Distributed TensorFlow on YARN, including MPI/PS architectures and GPU optimizations, demonstrating a rare blend of ML-distributed training and cluster engineering. He also contributes to open-source front-end projects (notably fixes and demo improvements to the mobile charting library F2), showing curiosity beyond backend infrastructure. Based in Beijing’s Chaoyang District, Jiang pairs pragmatic engineering with low-level performance tuning, often revising core code to squeeze efficiency from large clusters.
9 years of coding experience
Github Skills (12)
data-visualizations10
uid10
javascript10
data-visualisation10
data-visualization10
front-end-development10
ui-design10
react10
jestjs8
typescript-types7
typescript7
typescripts7
Programming languages (5)
Github contributions (5)
antvis/F2
Oct 2021 - Nov 2022
📱📈An elegant, interactive and flexible charting library for mobile.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:33 reviews, 82 commits, 45 PRs in 1 year 1 month
Contributions summary:Junyu's contributions focused on fixing bugs and implementing features within the F2 charting library, specifically related to component integration and UI. They fixed errors related to utility imports and Jest transformations. Further enhancements included the addition of a line chart demo and exposing parameters for line view components.
flexiblechartschartantvcharting-library
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