Yuan Yao
Senior Deep Learning Architect at NVIDIA
California, United States
Summary
🤩
Rockstar🎓
Top SchoolYao Yao is a Software Architect and Principal Compute Architect at NVIDIA based in Shanghai with eight years of industry experience building high-performance compute solutions. He specializes in architecting scalable compute platforms and bridging deep technical design with practical implementation for accelerated workloads. Known for applying GPU compute expertise to complex system problems, he brings an engineer’s rigor to performance tuning and architecture decisions. Operating at the intersection of research-grade compute and production systems, he helps teams translate algorithmic requirements into deployable infrastructure. Colleagues appreciate his combination of hands-on technical depth and clear architectural vision across performance-critical projects.
8 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Zhejiang University
Github Skills (77)
cereal10
serializer10
serialization10
caf10
anycast10
slam10
g2o9
proxy9
cpp9
sift9
surface9
json9
bag-of-words9
robotics8
optimization8
Programming languages (6)
Github contributions (5)
lowsfer/cereal
Dec 2020 - Aug 2024
A C++11 library for serialization
Contributions:1 release, 1 PR, 5 pushes in 3 years 8 months
cppserializationheader-onlyserializercpp-library
lowsfer/TensorRT-LLM
Apr 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 push in 1 day
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