Elfie Guo
Software Engineer at NVIDIA
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolElfie Guo is a software engineer focused on high-performance deep learning inference, currently optimizing LLMs on NVIDIA GPUs after several years working on quantization and sharding for large models on Google TPUs. With a Master's in Electrical Engineering from Tufts and a background in control instrumentation from Tianjin University, she blends hardware-aware systems thinking with software optimization techniques like custom kernel development and system-level performance tuning. At NVIDIA she accelerates AI deployment through quantization and low-level kernel work that bridges model research and production constraints. Though early in her career, she has already shifted between leading-edge TPU and GPU stacks, giving her practical fluency in cross-platform model scaling and deployment trade-offs.
2 years of coding experience
5 years of employment as a software developer
Bachelor's degree Measuring and Control Technology and Instrument, Bachelor's degree Measuring and Control Technology and Instrument at Tianjin UniversityMaster's degree Electrical Engineering, Master's degree Electrical Engineering at Tufts University
English, Chinese
Github Skills (12)
gpu-programming10
machine-learning10
c-language10
deep-learning10
tensorflow10
cprogramming-language10
cudnn10
python9
p89
triton9
neural-network8
mlops7
Programming languages (3)
Github contributions (5)
elfiegg/xla
May 2024 - Oct 2024
Contributions:27 pushes, 10 branches in 5 months
elfiegg/vllm
May 2024 - Jan 2025
A high-throughput and memory-efficient inference and serving engine for LLMs
Contributions:59 pushes, 10 branches in 8 months
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