Stephen Jia is a software engineer with a decade of experience building performant machine learning and embedded systems, currently contributing to PyTorch Mobile at Facebook in New York. His background spans deep learning research and production optimization—from quantized model acceleration at NXP and NVIDIA to marketplace ranking and mobile ML deployment at Facebook. Trained in Mechatronics, Robotics, and Automation at University of Waterloo, he brings a systems-minded approach that blends hardware-aware optimization with practical software engineering. Stephen’s early roles in DSP, vision research, and data-driven fault recognition give him a rare cross-disciplinary fluency across embedded vision, model quantization, and large-scale ML infrastructure. He favors shipping production-ready solutions that bridge research and product, especially where constrained devices and efficiency are key. Colleagues describe him as a pragmatic problem-solver who surfaces subtle performance wins that compound at scale.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Applied Science (BASc), Mechatronics, Robotics, and Automation Engineering, Bachelor of Applied Science (BASc), Mechatronics, Robotics, and Automation Engineering at University of Waterloo
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