王麒淞 is a pragmatic backend engineer with eight years of experience and over two years focused on building robust Flask/PostgreSQL services, complemented by practical DevOps automation. He has shipped systems across AIoT, blockchain, and energy management, and implemented security best practices in production-grade projects. Notable work includes a productized App Store review pipeline that combined scraping, NLP-driven comment categorization, and realtime reporting integrated with internal systems. His background spans healthcare-focused contact tracing at Nightingale AI and research-grade training (MS, CS, GPA 4.08), giving him both academic rigor and hands-on product delivery. Active in the Python community as a Program & PR team member for PyCon Taiwan, he brings strong collaboration and open-source sensibilities to engineering teams.
8 years of coding experience
1 year of employment as a software developer
學士, Department of Computer Science & Information Engineering, 學士, Department of Computer Science & Information Engineering at 國立暨南國際大學
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