Shengjie Lin
Deep Learning Architect at NVIDIA
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
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyBachelor of Science - BS Mechanics, Bachelor of Science - BS Mechanics at Tsinghua University
Chinese, English
Github Skills (32)
deeplab10
semantic-segmentation9
3d-reconstruction9
computer-vision9
text-alignment8
3d8
photogrammetry8
3d-graphics8
rendering8
pytorch7
machine-learning7
deep-learning7
arm6
cpp6
ros6
Programming languages (4)
Github contributions (5)
ripl/baxter-pose-following
Mar 2022 - Oct 2024
Contributions:34 pushes in 2 years 6 months
shengjie-lin/vis-utils
Apr 2024 - Jun 2025
Contributions:25 pushes, 1 branch in 1 year 2 months
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