Shawn Wang is a Principal System Engineer based in Mountain View with 8+ years of recent hands-on experience building computer vision, sensor fusion, and ML systems for medical imaging and industrial robotics at Midea and prior imaging-focused companies. He designs and deploys end-to-end solutions—from PyTorch research models for accelerated MRI reconstruction to C++/libtorch integrations and ARM/CUDA-optimized visual SLAM and lane-keeping stacks for factory robots. His background uniquely blends deep academic training (PhD in EE) with domain-winning product work in microscopy and diagnostic imaging, including a recognized award for PD-L1 companion diagnostics. Comfortable across Python, C++, ROS2, CUDA and ARM NEON, he repeatedly converts research ideas into real-time, resource-constrained deployments. Notably, he has led map fusion and memory-management strategies that improve SLAM robustness in dynamic environments while also customizing diffusion models for configurable MRI denoising.
8 years of coding experience
17 years of employment as a software developer
Bachelor's degree, Automatic Control, Bachelor's degree, Automatic Control at Northwestern Polytechnical University
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Unveristy of Texas at Arlington
Master's degree, Control Theory and Applications, Master's degree, Control Theory and Applications at Institute of Automation, Chinese Academy of Sciences
DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger
Contributions:133 commits, 134 pushes, 1 branch in 1 year 8 months
pytorchplaceaichallengerunet-nesteddeepseg
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Shawn Wang - Principal System Engineer at Midea America Corp