Jinxuan Wu is a seasoned software engineer based in New York with over a decade of experience building full-stack web systems and big-data pipelines at companies like Bloomberg and PayPal. He combines strong communication and collaboration skills with hands-on expertise in distributed computing, evident from contributions to Apache Sedona—adding a spatial Hadoop benchmark and refining spatial query tests. Comfortable across backend Java/Hadoop ecosystems and data lake ingestion projects, he specializes in turning large-scale geospatial and cross-property data challenges into production-ready solutions. With a Master's in Computer Science from Arizona State University and a track record of shipping reliable systems, he brings pragmatic problem-solving and a focus on measurable impact.
12 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science and Technology, Bachelor's degree, Computer Science and Technology at Sichuan University
Master's degree, Computer Science, 3.73, Master's degree, Computer Science, 3.73 at Arizona State University
A cluster computing framework for processing large-scale geospatial data
Role in this project:
Back-end Developer
Contributions:57 commits, 2 PRs, 14 pushes in 2 years
Contributions summary:Jinxuan added a spatial Hadoop benchmark program to the repository, indicating contributions focused on geospatial data processing within a Hadoop environment. The primary changes involve the addition of a Java program ("Colocation.java") which uses Hadoop MapReduce framework to process spatial data. These changes suggest an understanding of distributed computing and geospatial data analysis within the context of the Apache Sedona framework. The user also added multiple testcases for rangeQuery and KNNQuery, and also refined more code on spatial queries.
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