Fei Kou
Member Of Technical Staff at Anthropic
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolFei Kou is a Member of Technical Staff in the San Francisco Bay Area with eight years of engineering experience spanning low-latency finance systems to large-scale ML model optimization. After building high-throughput auto-quoting infrastructure at JPMorgan and improving firm-wide reference data at Nomura, Fei spent eight years at Facebook enabling and optimizing Llama inference—co-authoring work on efficient speculative decoding at scale. Now at Anthropic, Fei applies a blend of systems engineering and ML deployment expertise to productionize cutting-edge models. Comfortable across C++/Python performance work and distributed system design, Fei has a track record of turning research ideas into deployable, production-ready systems. A Stony Brook CS graduate, Fei brings a pragmatic, metrics-driven approach and a knack for squeezing latency and cost out of complex pipelines. Notably, Fei’s background bridges financial-grade reliability with research-forward ML inference optimizations.
8 years of coding experience
13 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Stony Brook University
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (30)
python10
acceleration10
machine-learning10
numpy10
deep-learning10
tensorflow10
gpu10
autograd10
neural-network10
tensor10
gpu-acceleration10
analyser9
multiplication9
facebook8
matrix-multiplication7
Programming languages (2)
Github contributions (5)
feikou/pytorch
Oct 2023 - Apr 2024
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:25 pushes, 7 branches in 6 months
amateurcoffee/AITemplate
Apr 2023 - Apr 2023
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
Contributions:6 pushes, 1 branch in 1 day
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