Peixin Li
DevOps Manager - Big Data And AI
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolPeixin Li is a DevOps and Big Data leader with 11 years of experience building scalable AI and data infrastructure across companies like NVIDIA, Alibaba, and Zhejiang Lab. Now a DevOps Manager for Big Data and AI at NVIDIA, he combines hands-on platform engineering with team leadership, having led open-source initiatives such as the NVIDIA spark-rapids project to accelerate Apache Spark on GPUs. His background spans cloud-native build and deployment automation, integration testing, and pipeline migrations—work that surfaces in commits improving Docker configurations and CI for high-profile GPU-accelerated projects. Comfortable bridging research and production, he previously architected innovative AI/data infrastructure and contributed to engineering effectiveness at both startups and large enterprises. Based in Shanghai, he pairs an NYU computer science master’s-level technical depth with a knack for creating collaborative engineering “vibes” that drive teams to ship complex systems.
11 years of coding experience
10 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at New York UniversityBachelor's degree Software Engineering, Bachelor's degree Software Engineering at Dalian University of Technology
Chinese, English
Github Skills (10)
big-data10
spark10
gpu10
devops10
build-automation10
cicd10
dockers9
docker9
test-automation8
python8
Programming languages (10)
Github contributions (5)
NVIDIA/spark-rapids
Aug 2020 - Jan 2023
Spark RAPIDS plugin - accelerate Apache Spark with GPUs
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:4 releases, 662 reviews, 398 commits in 2 years 5 months
Contributions summary:Peixin's commits primarily involve modifying and improving the `nvidia/spark-rapids` repository, a Spark plugin designed to accelerate Apache Spark with GPUs. Their work includes migrating pipelines, fixing Docker configurations for integration tests, and removing nightly pipelines on NGCC. The user demonstrates a strong understanding of build processes, deployment workflows, and testing frameworks. The commits suggest a focus on build automation and platform configuration.
gpu-accelerationgpuapachebig-dataspark
pxLi/pxli.github.io
Mar 2015 - Oct 2019
Contributions:14 pushes, 1 branch in 4 years 7 months
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