Jingji Chen
Research Scientist at ByteDance
Shanghai, United States
Summary
👤
Senior🎓
Top SchoolJingji Chen is a Research Scientist at ByteDance Seed specializing in large-scale LLM training systems and frameworks, with nine years of experience spanning HPC, distributed computing, ML systems, and graph systems. He holds a BE from Tsinghua and a PhD from Purdue, and has built high-performance ML and graph systems using OpenMP, MPI, and CUDA with C++ and Python. His work bridges rigorous academic research—published at top computer systems conferences—with production-oriented system design, gained through roles at Purdue, USC, and a Microsoft research internship. Based in Shanghai, he combines deep systems-level optimization skills with practical experience scaling training pipelines for modern large language models, and maintains an active publication record that highlights novel performance engineering insights.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, 3.96, Doctor of Philosophy - PhD, Computer Engineering, 3.96 at University of Southern CaliforniaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Purdue UniversityBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Tsinghua University
Github Skills (33)
fact10
python10
machine-learning10
deep-learning10
tensorflow10
neural-network10
modifier10
data-science9
ml9
deep-neural-networks9
reasoning9
nlp8
logic8
fact-checking8
verification8
Programming languages (2)
Github contributions (5)
ekar-leaderboard/ekar-leaderboard.github.io
Mar 2022 - Sep 2022
Contributions:22 commits, 23 pushes in 6 months
jiangjiechen/HedModTmplGen
May 2019 - Nov 2022
Code for our ACL 2019 long paper: "Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation".
Contributions:12 commits, 2 PRs, 8 pushes in 3 years 6 months
pytorchmodifierdeep-learningheadlong
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