Yucheng Liu

I have more than two years of software development experience spanning iOS apps, web frontend, backend, and AI integration. I have end-to-end development capabilities across requirements analysis, system design, feature implementation, and product release, allowing me to contribute quickly to hands-on development. I place a strong emphasis on UI/UX design, and I aim to solve real-world problems through technology by building products that are both practical and intuitive to use.

During my time as a software engineering intern, I contributed to frontend development for a corporate wellness platform and gained firsthand experience with the complete process from receiving client requirements to delivering features. Development involved adapting platform features to meet the needs of different clients, as well as reassessing implementation approaches and adjusting development work when requirements changed unexpectedly. I also participated in handling client-reported issues by testing the product, reproducing errors, reviewing logs to trace their causes, fixing the code, and verifying that the affected functionality had returned to normal. Beyond day-to-day development, I proactively proposed integrating generative AI into the company's InBody product during a product meeting to help users interpret their body composition data, and a related feature was later introduced into the product.

For my personal projects, I developed the Tea Farm Monitoring System, which combined on-site requirements interviews, AI image recognition, and an iOS application to help tea farmers monitor disease conditions in their farms. The project received two national awards from Taiwan's Ministry of Education. In 2026, a U.S. midterm election year, I also independently developed and officially released Election Radar, an iOS app that integrates AI-powered data processing, backend services, and an interactive map to organize scattered U.S. election events into an accessible experience for users to explore. These experiences have strengthened my ability to start from real-world needs, plan and deliver software features, and turn technology into products people can use.

I am also skilled at using AI-assisted development tools such as Cursor and AI coding agents such as Codex. I integrate AI into my daily development workflow for requirements analysis, feature implementation, debugging, and code review, improving development efficiency and allowing me to devote more time to feature design, problem-solving, and product quality.

Beyond software development, I continue to participate in developer communities and technical events, where I share development experience and completed projects while exchanging technologies and implementation approaches with other developers. I hope to bring these technical skills, product development experience, and commitment to continuous learning to a team, helping the organization move feature development forward efficiently, improve the user experience, and build stable software products that deliver real value.