
Pai(2023)
Northeastern University 東北大學
University of California, Riverside 加州大學河濱分校
Background | M.S. in Molecular Medicine and Bioengineering
Application | M.S. in Artificial Intelligence

Motivation: Wounds as a Catalyst, Not a Slogan "I pushed AI from theoretical frameworks onto the harsh realities of the factory floor. In doing so, I confronted the glass ceiling of manufacturing—limited resources, aging equipment, and the deep-seated talent biases that stifle innovation."
Experience: Vertical Consistency—Aligning Purpose with Action "By collaborating with cross-functional teams and key global clients, I transformed AI systems into mass-producible, replicable successes that earned world-class certifications. My focus remained on lowering the barriers to entry, ensuring that even newcomers could seamlessly operate and maintain these systems."
Goal: A Future Already in Motion "I am currently scaling the impact of smart factories. My objective is to bridge the remaining gaps in my technical arsenal, enabling AI to drive the next generation of industrial competitiveness—integrating everything from design and manufacturing to supply chain optimization."
動機|傷口,而非口號
=「我在最硬派的工廠現場把 AI 從紙上推到產線,卻也看清了製造端在資源、設備與人才偏見下的天花板。」
經歷|從動機到行動的縱軸一致性
=「我帶著跨部門與大客戶把 AI 系統做成可量產、可複製的成果,拿到世界級認證,同時把落地難度降低到新人也能接得住。」
目標|已在進行中的未來
=「我正在把智慧工廠的成效擴散到更大規模,並補齊更前段的能力,讓 AI 能從設計、製造到供應鏈一路推動下一代工業競爭力。」