Gary Chen is a data scientist with eight years of experience building recommendation engines, anomaly detection models, and production ML systems for media and telecom companies. He has designed end-to-end solutions—from PyTorch models and Airflow workflows to GCP infrastructure and Vue front-ends—while helping organizations earn Google Cloud ML specialization certification. Comfortable bridging research and engineering, he applies object-oriented design patterns and disciplined code structure to improve maintainability of legacy systems. Based in Taiwan, he has hands-on experience crawling and mapping large data ecosystems (SQL parsers and graph relations) and a particular interest in recommender platforms for social media and e-commerce.
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