Yuxuan Xuan is an AI software engineer with 11 years of experience building end-to-end machine learning systems across government, consulting, startups and large tech firms, currently driving ML delivery at GovTech Singapore. He combines hands-on model development (NLP, CV, recommendation) with robust engineering—data pipelines, training orchestration, serving, deployment and monitoring—using modern stacks like PyTorch Lightning, TensorFlow, Spark, Airflow and Kubernetes on GCP. His background includes machine learning roles at Meta/Facebook and product-focused data science at Traveloka and Lazada, giving him fluency in both research-grade models and production-scale systems. A statistics valedictorian from NUS, Yuxuan also authors multiple open projects (GloVe, character RNNs, TensorFlow recommenders) that demonstrate practical experimentation with embedding and generation techniques. He is notable for translating academic techniques into operational solutions and for a career arc that moves between consultancy, startup execution and large-scale platform engineering.
11 years of coding experience
8 years of employment as a software developer
Summer Programme, Summer Programme at University of Toronto
Society of Actuaries
Science, Science at National University of Singapore
Contributions:46 reviews, 116 PRs, 397 pushes in 3 months
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Yuxuan Xuan - AI Software Engineer at GovTech Singapore