I care about building work that is technically solid, personally honest, and useful to real people.

As I complete my B.S. in Artificial Intelligence at Chang Gung University and prepare for the next stage of my M.S. studies at National Central University, I see this summer as more than a transition between two academic milestones. I see it as a valuable opportunity to step into a professional environment, learn from structured industry training, and develop the communication, adaptability, and practical judgment needed to grow into a strong technology professional.

My academic journey has led me to become especially interested in applied AI systems, systems that must do more than demonstrate technical capability in isolation, but instead operate reliably in real contexts for real users. This perspective has been shaped by both research and implementation experience. As an undergraduate researcher, I worked on the LLM-NSMA framework, where I helped build a scalable monitoring stack for Kubernetes-based edge services and contributed to an LLM-assisted framework for network service diagnostics. Through this work, I came to appreciate that the challenge of AI is often not only intelligence itself, but also system reliability, observability, and the ability to support timely decisions in complex environments.

At the same time, my experience as an AI Engineer for the EMBA AI Education Platform further strengthened my interest in practical AI deployment. By helping develop a Dify- and RAG-based platform for EMBA students, integrating domain-specific knowledge bases, and improving response relevance through task-oriented AI agents, I learned how technical design choices directly affect user experience and trust. This experience showed me that meaningful AI work lies at the intersection of technical depth, thoughtful design, and continuous iteration.

Equally important to me is the human side of professional growth. Serving as captain of the CGU Men's Varsity Basketball Team taught me how to lead with accountability, communicate under pressure, and align individuals toward a shared goal. Whether coordinating tournaments involving hundreds of participants or guiding a 28-player team through intensive preparation, I learned that strong performance is rarely the result of individual ability alone; it depends on discipline, collaboration, and resilience.

I am drawn to internship opportunities because they offer something that academic environments alone cannot fully provide: the chance to understand how organizations train talent systematically, how teams collaborate across functions, and how ideas are translated into impact under real constraints. I am particularly eager to gain experience in an international or globally minded workplace, where I can strengthen not only my technical judgment but also my ability to communicate and contribute across cultures.

I hope to bring to this internship a serious learning attitude, a strong foundation in artificial intelligence, and hands-on experience in research, deployment-oriented AI systems, and collaborative leadership. More importantly, I hope to bring curiosity, discipline, and a willingness to grow. For me, this internship is not simply a summer experience. It is an important step toward becoming a professional who can combine technical expertise with practical execution and contribute meaningfully in a fast-evolving global environment.