Full-Stack Developer | Android Developer Research Interests: AI Systems, Large Language Models, and Scalable Software Architecture

I am a developer with a strong focus on AI-driven systems and software engineering, particularly in the integration of Large Language Models (LLMs) into real-world applications.

My experience lies in building end-to-end systems, covering frontend interfaces, backend services, and mobile deployment, with an emphasis on scalability, modularity, and system design.

I am currently preparing for graduate study in Computer Science, with a focus on AI systems and intelligent applications.

• Kotlin (Android / Multiplatform)
• Python (AI systems, backend logic)
• JavaScript / TypeScript (frontend systems)
• Java, C

• Design and implementation of RESTful APIs and service-oriented architecture
• Experience with client-server systems and asynchronous workflows
• Integration of LLM APIs into application pipelines
• Understanding of scalable system design and modular architectures
• Practical experience in end-to-end system construction

• Development of single-page applications (SPA) using React
• UI implementation with Tailwind CSS
• Focus on usability, responsiveness, and interaction design

• Android development using Jetpack Compose
• Cross-platform development with Kotlin Multiplatform
• Exploration of on-device AI deployment and performance constraints

• Large Language Model (LLM) applications

  • Retrieval-Augmented Generation (RAG)
  • AI agents and tool-augmented systems

• AI system deployment

  • Integration of models into production environments
  • Mobile and edge-side AI

• Software system design

  • Scalable backend architecture
  • End-to-end system optimization

Developed a real-time AI application integrating LLM APIs into an interactive client system.

• Designed the frontend interaction layer using Kotlin and Jetpack Compose
• Implemented backend communication pipelines for model inference
• Focused on latency, usability, and interaction efficiency
• Explored practical challenges in LLM-based application design

Explored the feasibility of deploying AI capabilities on mobile platforms.

• Implemented AI-related functionalities within mobile environments
• Analyzed performance constraints and resource limitations
• Optimized system behavior for usability and responsiveness

Developed web-based systems with integrated frontend and backend components.

• Built applications using React and RESTful APIs
• Designed data flow and client-server interaction patterns
• Applied modular design principles for maintainability

Email: liyihan11unique@outlook.com GitHub: https://github.com/YihanLi-erisaer