Pinjia He
Assistant Professor at The Chinese University of Hong Kong, Shenzhen 香港中文大学（深圳）
Shenzhen, Guangdong Province, China
Summary
🤩
Rockstar🎓
Top SchoolPinjia He is an Assistant Professor and Assistant Dean (Research) at The Chinese University of Hong Kong, Shenzhen, with 11 years of experience bridging software engineering, NLP, and systems. His research focuses on both directions of the AI-software nexus: applying LLMs to software engineering (DevOps and code) and hardening AI systems via software engineering practices for safety, security, testing, and operations. He previously trained and published as a postdoc at ETH Zürich and brings industry-relevant research experience from Microsoft Research Asia. An active contributor to open-source tooling, he helped develop core ML algorithms and a parallel parser for the widely used logpai/logparser toolkit, underscoring practical expertise in log analysis and scalable tooling. Based in Shenzhen, he combines rigorous academic training (PhD in Computer Science) with hands-on system and ML engineering that targets real-world AI reliability problems.
11 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at Guangdong Experimental High SchoolBachelor's degree, Computer Science, Bachelor's degree, Computer Science at South China University of TechnologyThe Chinese University of Hong Kong (CUHK)
English, Chinese, Chinese
Github Skills (8)
machine-learning10
log-parser10
python10
parse10
anomaly-detection9
log-analysis9
spark8
parallel-processing8
Programming languages (2)
Github contributions (5)
logpai/logparser
Mar 2016 - Jan 2023
A machine learning toolkit for log parsing [ICSE'19, DSN'16]
Role in this project:
ML Engineer
ML EngineerContributions:241 commits, 4 PRs, 233 pushes in 6 years 11 months
Contributions summary:Pinjia primarily contributed to the core machine learning aspects of the log parsing toolkit. They implemented and refined the IPLoM algorithm, including its core steps and parameter settings. Furthermore, they added and refined examples for LogSig, and added a parallel parser POP. This suggests significant involvement in the development and optimization of log parsing techniques.
dsnlog-analysislog-parsinganomaly-detectionlogging
PinjiaHe/PinjiaHebackup.github.io
Jul 2018 - Jun 2021
Contributions:98 pushes, 1 branch in 2 years 10 months
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