Shengjie Lin
PhD Candidate
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolShengjie Lin is a PhD candidate and machine learning systems researcher based in Chicago with 11 years of engineering experience focused on efficient, networked systems for large-scale ML. His work spans distributed training, communication optimization, and system architecture, informed by internships and research roles at NVIDIA, Alibaba Cloud, and HPC-AI Tech and a research appointment supervised by Prof. Tushar Krishna. He has practical experience moving research into production-like settings, optimizing distributed training stacks and communication patterns for real-world workloads. Trained originally in mechanics at Tsinghua and pursuing graduate studies at Georgia Tech and TTIC, Shengjie blends rigorous theoretical grounding with systems-level implementation. He is comfortable bridging academia and industry, frequently translating algorithmic insights into performance gains on hardware and cluster platforms. Colleagues would describe him as a systems-minded researcher who looks for compact, communication-efficient solutions that scale.
11 years of coding experience
Bachelor of Science - BS, Mechanics, Bachelor of Science - BS, Mechanics at 清华大学Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Chinese, English
Github Skills (39)
deeplab10
3d-reconstruction10
computer-vision8
3d8
photogrammetry8
computer-graphics8
segmentation8
machine-learning8
3d-graphics8
pytorch8
rendering8
visualization7
semantic-segmentation7
semantic7
deep-learning7
Programming languages (4)
Github contributions (5)
ripl/baxter-pose-following
Mar 2022 - Oct 2024
Contributions:34 pushes in 2 years 6 months
eesast/TeamStyle16_3D
Jan 2015 - May 2015
Contributions:72 pushes, 3 branches in 3 months
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