Nan Dun
Machine Learning Engineer, LLM at Apple
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNan Dun is a Machine Learning Engineer specializing in LLM infrastructure and optimization, currently driving production ML systems at Apple with 14 years of experience across industry and academia. He combines deep HPC and distributed-systems expertise—from supercomputers and parallel file systems to large-scale AWS data pipelines—with hands-on engineering in C/C++, Python, Go and Rust. His background includes building ML pipelines and on-device NLP runtimes for Siri, architecting cloud migration and DevOps at Quantcast, and contributing bug fixes and core improvements to Alluxio, a prominent data orchestration project for analytics and ML. A PhD-trained researcher with postdocs at Tokyo and Chicago, he pairs rigorous performance tuning skills with practical product delivery. Fluent across US, Japan, and China work cultures, he’s known for leading cross-functional teams and turning complex, data-intensive problems into reliable production systems.
14 years of coding experience
10 years of employment as a software developer
University of TokyoBS Computer Science, BS Computer Science at Peking UniversityResearch Student Computer Science, Research Student Computer Science at Kyoto University
Chinese, English, Japanese, French
Github Skills (8)
javas10
file-management10
alluxio10
java10
data-structure9
orchestrate9
orchestration9
data-structures9
Programming languages (7)
Github contributions (5)
Alluxio/alluxio
Jun 2015 - Aug 2015
Alluxio, data orchestration for analytics and machine learning in the cloud
Role in this project:
Back-end Developer
Back-end DeveloperContributions:22 commits, 10 PRs, 64 comments in 2 months
Contributions summary:Nan primarily focused on fixing bugs and improving the code quality within the Alluxio project. Their contributions involved modifying Java code, specifically addressing issues related to prefix lists, block store metadata, and event listeners. Additionally, the user refactored the concatPath utility function in `CommonUtils.java` to resolve string manipulation issues and improve its handling of paths. These changes demonstrate a focus on core functionality and data management within the Alluxio system.
alluxiomachine-learningmemory-speedhadoopspark
qnu/gxp
Apr 2015 - Aug 2018
Contributions:6 commits, 6 pushes, 1 branch in 3 years 3 months
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