James Smith is a Principal AI Research Scientist based in Atlanta with eight years of experience bridging language, speech, and vision research into practical, on-device and industry-scale solutions. He holds a Ph.D. from Georgia Tech—where he earned an outstanding graduate research award for lifelong machine learning—and has a track record of publishing research and securing patents across both academic labs and corporate R&D. His career spans internships at MIT-IBM Watson, SRI, and Samsung Research, leading to senior applied scientist and principal roles driving AI productization at companies like Xero and Autodesk. Equally comfortable with foundational research and engineering, he specializes in making ML models efficient for real-world deployment and has repeatedly moved ideas from PhD-era prototypes into production settings. A former antenna-optimization researcher turned multimodal ML expert, he brings a systems-minded approach informed by electrical engineering and deep learning.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Georgia Institute of Technology
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at Auburn University
PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
Contributions:14 commits, 7 pushes, 1 branch in 7 months
incremental-learningpytorch
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