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Chang Kim is an experienced data engineering and analytics manager at Gearbox Publishing San Francisco, with a professional background spanning over a decade. Specializing in machine learning, streaming data processing, and backend API development, Chang has managed a variety of robust technologies, including XGBoost, scikit-learn, Tensorflow, Kafka, and Spark streaming. Notable achievements include processing over 10 billion messages for real-time data handling, migrating substantial datasets to Google BigQuery, and achieving significant performance enhancements in data processing. Prior experience includes roles as Engineering Manager and Database Administrator at Gala-Net, where systems were designed to sustain operations for over 8 million users. Chang holds a Masterā€™s degree in Computer Science from Korea National Open University and a Bachelorā€™s degree from ź°•ė‚ØėŒ€ķ•™źµ (Kangnam University).