Ninglin Du
Software Engineer at 小米科技
Beijing, China
Summary
👤
Senior🎓
Top SchoolNinglin Du is a software engineer with 11 years’ experience at Xiaomi, specializing in large-scale data processing, user profiling and backend systems built on Hadoop and Spark. With a Master's in Computer Science from Beijing Jiaotong University, Ninglin combines solid academic training with practical engineering in production analytics and platform services. He contributes to NLP open-source work—improving Chinese duckling forks by redesigning dictionary matching with prefix trees and optimizing place recognition to reduce segmentation dependency—showing a penchant for performance-driven, low-level algorithmic improvements. Based in Beijing, he’s known for being enthusiastic about software release notes and enjoys sharing insights, reflecting a curious, community-minded engineer who digs into both data pipelines and language processing internals.
11 years of coding experience
Master's degree, Computer Science, Top 20%, Master's degree, Computer Science, Top 20% at Beijing Jiaotong UniversityBachelor of Engineering (BE), Computer Science, Bachelor of Engineering (BE), Computer Science at Huazhong University of Science and Technology
English
Github Skills (7)
nlp10
python10
natural-language-processing10
scala10
machine-learning8
ml8
tensorflow8
Programming languages (5)
Github contributions (5)
XiaoMi/MiNLP
May 2022 - Jan 2023
XiaoMi Natural Language Processing Toolkits
Role in this project:
Back-end Developer
Back-end DeveloperContributions:35 reviews, 73 commits, 234 PRs in 8 months
Contributions summary:Ninglin primarily contributed to the `duckling-fork-chinese` repository, which focuses on natural language processing toolkits. Their work involved significant code modifications, including updating dictionary matching with a prefix tree, optimizing place recognition with maximum prefix matching to reduce dependency on word segmentation, and replacing the AC automatic machine implementation. These changes indicate a focus on improving core NLP functionalities, potentially for performance and efficiency. Furthermore, they have worked on refactoring and adapting code to support Android and other various bug fixes.
nlplanguage-processingmachine-learningnatural-languagetoolkits
du00cs/druid
Jan 2016 - Dec 2016
Contributions:1 PR, 57 pushes, 11 branches in 10 months
idealdata-storedatabasecolumn-orienteddistributed
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