Hi, I'm Zhiyuan Song, a Computer Science student at UC Santa Cruz and a full-stack engineer passionate about building high-impact, production-ready software. I enjoy turning ambitious ideas into scalable systems—from clean UI/UX and real-time interactions to robust backend services and cloud deployment.

I previously worked as a Web Developer / Research Intern at Columbia University, contributing to biomedical research software and data-driven systems supporting active scientific projects. I'm also credited as a co-author on Nature-family research submissions, reflecting my ability to deliver high-quality engineering work in research-grade environments.

Technically, I specialize in Next.js/React, TypeScript, Node.js, MongoDB/Firebase, Docker, and modern full-stack architecture. I'm also deeply interested in LLM-powered systems (RAG, prompt engineering, AI integration) and productizing AI into reliable end-to-end workflows.

Research Interests

My research interests focus on applying AI models to Biomedical Engineering (BME), particularly in medical imaging and biological aging modeling. I'm excited by research directions such as multi-organ MRI-based representation learning, AI-driven aging clocks, multimodal biomarker modeling, and building systems that translate biomedical AI advances into real-world impact.

Career Goals

I'm actively seeking full-time Software Engineering opportunities (open to internships as well), where I can contribute to building scalable products, collaborate with strong teams, and push forward both engineering excellence and AI-driven innovation.