Hang Xu
Los Angeles Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolHang Xu is a pragmatic software engineer with six years’ experience building scalable web and data systems, blending TypeScript/Node.js expertise with cloud-native ETL on Azure. At SynapseJS they designed a protocol-agnostic library that reduced backend boilerplate while proving scalability through AWS clustering and rigorous TDD; at Data Surge they engineered end-to-end Azure Data Factory pipelines, Databricks automation, and enterprise data governance with Purview. Comfortable across full stack concerns, they pair React front-ends and WebSocket/SSE real-time features with ACID-compliant SQL backends and reusable Python packaging for CI/CD. Based in Los Angeles, Hang contributes to open-source projects like CodeRacer and maintains public projects at github.com/nplaner and synapsejs.org, demonstrating a practical focus on reusability and operational reliability.
6 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Economics/Law & Society, Bachelor's degree, Economics/Law & Society at University of California, Riverside
Github Skills (37)
distributed-computing10
foundation-models10
gradient9
large-scale9
inference9
ai9
deep-learning9
compression9
data-parallelism8
marketplace8
hpc8
machine-learning8
silo8
ai-agent7
simulation7
Programming languages (3)
Github contributions (5)
sands-lab/grace
May 2020 - Jun 2022
GRACE - GRAdient ComprEssion for distributed deep learning
Contributions:50 commits, 31 pushes, 35 comments in 2 years 1 month
deep-learningcompressionmachine-learningdistributed-deep-learninggradient
hangxu0304/DeepReduce
Dec 2020 - Nov 2021
Contributions:12 commits, 5 pushes, 1 comment in 11 months
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