Kevin Xuan is a data scientist and machine learning engineer with eight years of hands-on experience building production ML systems, from automated model-building tools to computer vision and audio models deployed in client environments. He holds a Master’s in Data Science from UC Berkeley and has driven analytic and experimentation work at Meta, delivering opportunity sizing, metric validation, and rule engines that informed product and revenue decisions. Kevin combines deep technical skills in Python, PyTorch/TensorFlow, Docker, SQL/Presto and model optimization (e.g., converting to TensorRT to cut inference time and GPU usage) with a strong product mindset for A/B testing and visualization. His background spans both research-style feature engineering and pragmatic productionization, including APIs that output emotion scores from video and automated image-classification pipelines. Based in Mountain View, he’s motivated by large-scale analytics and translating complex signals into actionable business recommendations.
8 years of coding experience
9 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at University of California, Berkeley
Bachelors of Science, Mathematical and Scientific Computation, Bachelors of Science, Mathematical and Scientific Computation at University of California, Davis
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