Andrew Tseng is a seasoned Machine Learning Engineer with over six years of experience in building databases, pipelines, and serving infrastructure to ensure the scalability of AI products while maintaining low latency and cost efficiency. They began their career as a Research Assistant at the National Center for Research on Earthquake Engineering, where they developed predictive models and anomaly detection systems. Subsequently, at SFL Scientific, they delivered end-to-end AI solutions, including fraud detection and natural language processing models. Currently, at ZoomInfo, they focus on building LLM services and bringing data science applications to production. Andrew holds a Master's degree in Computer Science from Georgia Institute of Technology and a second Master's in Civil Engineering from National Cheng Kung University, alongside a Bachelor's in Engineering from National Chiao Tung University.
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