Summary
Liam Bui is a Senior Machine Learning Engineer with nine years of experience building data-driven products and production ML systems across recommender systems, computer vision, and biosignal analytics. Currently at Scribd, he has led reranking and embedding-based retrieval initiatives that materially increased user engagement and helped define scalable feature store and vector database requirements. His background spans end-to-end MLOps and engineering—designing distributed data workflows on AWS, standardizing CI/CD and model tracking, and shipping real-time pipelines in Spark, SageMaker, and Docker. Earlier roles include developing object detection and GPS-localized computer vision solutions that cut processing time 10x, and biomedical signal processing for faster diagnostics. Liam holds advanced degrees in machine learning and technology management and brings a mix of research-led prototyping and pragmatic productionization that accelerates product impact. A detail that sets him apart is his recurring focus on operationalizing embeddings and vector search at scale—turning cutting-edge research into measurable engagement gains.
9 years of coding experience
10 years of employment as a software developer
Master's degree Technology Management, Master's degree Technology Management at National University of Singapore
Bachelor's degree Computer Science Business Analytics (Dual Degree), Bachelor's degree Computer Science Business Analytics (Dual Degree) at Nanyang Technological University Singapore
Master's degree Computer Science (Big Data Machine Learning), Master's degree Computer Science (Big Data Machine Learning) at Simon Fraser University