Driven Software Engineer with a Focus on Machine Learning and IoT SolutionsI am a highly motivated Computer Engineering graduate student at Columbia University with extensive experience in software development, machine learning, and IoT (Internet of Things).My academic and professional journey has been marked by a drive to innovate and solve complex problems, from my work at Beijing Togest Electric Co. to research at Columbia University.Colleagues and teammates recognize me as a detail-oriented, solution-focused engineer with a passion for emerging technologies.My key achievements include:-> Mobile Application DevelopmentDeveloped a Java-based plugin for mobile app and server integration at Beijing Togest Electric Co., improving on-site troubleshooting efficiency by 7% through enhanced service port management.-> Machine Learning and Deep LearningLed the design and implementation of a deep learning-based binary disassembler, achieving a precision of 98.45% and recall of 98.60%, outperforming existing models and enhancing security analysis.-> IoT System DevelopmentAt Jiangxi Copper Corporation, contributed to the design of database standards for IT and OT data collection, reducing network congestion by 11% through optimization of data processing strategies.-> Software DevelopmentAs part of an international research team, developed and fine-tuned a novel deep learning architecture, GraphFormers, improving performance on binary disassembly tasks, resulting in a highly efficient and secure system.With a focus on continuous learning and application of cutting-edge technologies, I am actively seeking opportunities to contribute to projects in software development, AI, and IoT, and to collaborate with teams aiming to push the boundaries of what technology can achieve.