Zehao Li

As a graduate student at Columbia University, I am interested in Electrical and Electronics Engineering, IT Security, Telecom-Networking. I explore where networks meet intelligence and safety. My path seeks not only to engineer systems but to reveal the patterns that make them adaptive, resilient, and transformative. In computer vision, I developed a real-time motion analysis system using MMPose, PyTorch, and OpenCV, translating human movement into quantifiable data with 95%+ accuracy. In network systems, I built adaptive multicast routing in software-defined networks (SDN), reducing DDoS success rates by 15% through intelligent routing mutation. My research on Reed-Solomon codes for distributed storage optimized encoding efficiency, reflecting my interest in data reliability across large-scale infrastructures. The pursuit of clarity in complexity makes me see technology not just as machinery but as a living architecture of connection—a chance to build systems that amplify trust, empower discovery, and spark innovation.