Summary
Qikai Xie is a Senior Software Engineer with 10 years of experience specializing in machine learning, deep learning model compression, and high-performance parallel computing. He has driven compiler and graph-scheduling work at StreamComputing and previously optimized XLA/TensorFlow operators, SDKs, and memory systems at Enflame. His background includes record compression and acceleration results (e.g., massive pruning/quantization on LeNet-5/AlexNet and OpenCL CNNs on FPGA) and hands-on HPC experience tuning MPI-based FEA code on Tianhe supercomputers. Comfortable bridging research and production, he combines low-level CUDA/OpenCL expertise with compiler-driven graph optimization to squeeze performance from modern AI stacks. Based in Beijing, he brings both academic rigor from a Washington State University M.S. and a practical track record shipping performance-critical ML infrastructure.
10 years of coding experience
7 years of employment as a software developer
Bachelor's Degree, Geophysics and Seismology, 3.61/4.0, Bachelor's Degree, Geophysics and Seismology, 3.61/4.0 at University of Science and Technology of China
Master's Degree, Mechanical Engineering, 3.86/4.0, Master's Degree, Mechanical Engineering, 3.86/4.0 at Washington State University
English, Chinese