Summary
Leo Chen is an AI engineer with 8 years of experience building production-grade NLP, security, and agentic systems, combining deep learning, information retrieval, and large-scale data engineering. He has led R&D and founding-engineer roles designing multi-agent architectures, in-context/few-shot learning pipelines, and advanced RAG/VLM solutions for enterprise applications. At CITI and Ubiquiti he processed and modeled tens of billions of records to deliver anomaly detection, topic extraction, and generative AI products, improving accuracy and operational efficiency substantially. Comfortable across research and production, he architects evaluation/backtest processes, synthetic data scoring, and continuous agent feedback loops to close the gap between models and real-world requirements. Based in New Taipei, Taiwan, he blends security-focused text-mining expertise with practical system-building—an uncommon mix reflected in deployed signature-generation and telecom-validated algorithms.
8 years of coding experience
10 years of employment as a software developer
碩士 資訊管理學系, 碩士 資訊管理學系 at National Taiwan University
學士 資訊管理學系, 學士 資訊管理學系 at National Central University
English