Engineer with interdisciplinary experience spanning advanced materials, biomedical microfluidics, and applied AI. Currently pursuing an MSc in AI for Sustainable Development at UCL, building strong foundations in machine learning, data analysis, and applied AI. With prior experience in engineering and experimental environments, I am particularly interested in leveraging data-driven approaches to support complex technical decision-making and process or product development. In industry, I have worked on early-stage technology and product development within the semiconductor and advanced packaging sector. I have led material and integration development initiatives, coordinating across vendors, laboratories, process teams, and stakeholders to bring new technologies from concept to prototype and evaluation. My experience includes failure analysis, experimental design (DoE), specification alignment, measurement methodology definition, and technical investigation across cross-functional environments. I have contributed to multiple intellectual properties and supported technical decision-making in ambiguous, fast-evolving projects. I am particularly interested in roles at the intersection of engineering, AI, and technical problem-solving — including applied AI, technical solutions engineering, and data-driven product or process development. I thrive in international and cross-disciplinary environments and enjoy building clarity within complex technical systems. Bilingual: Mandarin (native) | English (IELTS 7.5)