Cuiqing Li
Senior AI Algorithm Engineer at Quant Trading Firm
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolCuiqing Li is a Senior AI Algorithm Engineer based in Shanghai with a decade of experience building high-performance ML systems and deploying LLMs in production, currently applying AI to quantitative trading workflows. With prior roles at Meta and ByteDance, she specializes in deep learning compilers, model optimization, and low-latency inference—contributing to projects like PyTorch, TVM and Colossal-AI and to runtimes such as PyTorch Executorch. She has hands-on expertise developing operator kernels, KV-cache managers, and tuning pipelines that bridge research and production at scale. Her background in applied and pure mathematics (Johns Hopkins) underpins a rigorous approach to profiling, quantization and compiler-level optimizations. Notably, she moved from improving edge-device runtimes to integrating LLMs across entire research cycles, reflecting both deep systems skill and product-focused impact.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA Mathematics and Computer Science(Minor), Bachelor of Arts - BA Mathematics and Computer Science(Minor) at University of MinnesotaJohns Hopkins University
English, Chinese
Github Skills (96)
python10
multithreading10
distributed-computing10
metal10
deep-learning10
gpu10
foundation-models10
compression10
gpu-acceleration10
opencl10
tvm10
javascript10
convolutional-neural-networks10
acceleration10
numpy10
Programming languages (5)
Github contributions (5)
tiandiao123/ColossalAI
Jun 2023 - Nov 2023
Making large AI models cheaper, faster and more accessible
Contributions:206 pushes, 40 branches in 5 months
tiandiao123/AdvancedFindingLines
Feb 2017 - Aug 2017
Contributions:34 commits, 35 pushes, 1 branch in 5 months
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