Yuan-kuei Hsueh is a Data Architect based in Taipei with 13 years of experience designing data platforms and real-time bidding (RTB) systems for ad tech. He has led both DevOps and data teams at TenMax, rebuilding RTB infrastructure on Google Cloud, building a BigQuery data warehouse, and streamlining BI workflows with Airflow and Power BI. His background spans distributed data technologies (Cassandra, Kafka, Spark), Kubernetes operations (AKS and on-prem clusters), and cloud administration across GCP and Azure. Known for improving bid-rate estimation and building audience-segmentation pipelines, he combines deep systems design with practical ML/data engineering applications. He brings a research-minded approach from an academic background in context-aware computing to solving production-scale ad tech problems.
13 years of coding experience
13 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at National University of Tainan
Contributions:17 commits, 2 pushes, 1 comment in 2 years 5 months
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