My research journey began with my doctoral work at Sungkyunkwan University, where I focused on searching for R-parity violating supersymmetry using the CMS detector at CERN. This experience sharpened my skills in data analysis and statistical methods while fostering a deep appreciation for collaborative, international research environments. As a postdoctoral researcher at the University of Seoul and Konkuk University, I expanded my expertise into advanced AI techniques, including deep learning for 3D point cloud data analysis and computer vision applications. I am technically proficient in tools such as CMS software and ROOT for particle physics data analysis, alongside programming languages like C++ and Python. My expertise in AI and machine learning, particularly in computer vision, equips me to tackle complex challenges and develop creative solutions. Additionally, my language skills in English (IM3 level) and French (novice) enhance my ability to communicate effectively in diverse, multicultural settings. I have also contributed to the academic community through teaching and innovation. As an adjunct lecturer at Konkuk University, I taught courses on computer vision and deep learning, inspiring the next generation of scientists and engineers. Furthermore, my patent application for a dual-port interferometer underscores my commitment to advancing technology with practical applications.