Yibin Li
Senior Deep Learning Engineer at NVIDIA
United States
Summary
🤩
Rockstar🎓
Top SchoolYibin Li is a Senior Deep Learning Engineer at NVIDIA with three years of experience building and optimizing model inference systems, particularly around TensorRT-based deployments. A UC Berkeley EECS graduate with both bachelor's and master's coursework, he brings hands-on production experience from internships at Waymo and Yahoo where he worked on vehicle perception and scalable question-answering models. He thrives on solving complex inference bottlenecks and translating research ideas into efficient, deployable pipelines. Known for curiosity-driven engineering, he blends low-level performance tuning with practical system design to accelerate real-world ML applications.
3 years of coding experience
1 year of employment as a software developer
Master's degree, Electrical Engineering and Computer Science, Master's degree, Electrical Engineering and Computer Science at UC Berkeley College of Engineering
Chinese, English
Github Skills (13)
nvidia7
sdk5
deep-learning5
tensorrt5
machine-learning4
optimizer4
inference4
throughput4
latency4
high-performance3
low-latency3
tensorflow3
gpu-acceleration2
Programming languages (1)
Github contributions (3)
yibinl-nvidia/TensorRT-LLM
Mar 2025 - Apr 2025
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
Contributions:8 pushes in 6 days
NVIDIA/TensorRT-LLM
Mar 2025 - Apr 2025
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
Contributions:1 review, 1 PR, 12 comments in 8 days
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