Yongkang Ouyang

Final-year Computer Science undergraduate at a 211 university in China. I am a dependable LLM Engineer & Full-Stack Developer with 2 years of hands-on, self-directed experience building end-to-end AI applications. I independently designed and developed a full-stack web platform using FastAPI that automatically detects AI-generated content in academic papers and intelligently rewrites them to significantly reduce AI detection risk while preserving original meaning and academic tone.

Key technical contributions include:

• Built a production-ready REST API with FastAPI and Pydantic
• Integrated Aliyun Qwen-Turbo LLM via OpenAI-compatible interface
• Designed advanced system prompts for accurate AI-risk scoring (0-100) and human-like text rewriting
• Implemented CORS middleware for secure frontend-backend communication

This project demonstrates my ability to handle the complete development lifecycle — from API architecture and prompt engineering to delivering clean, efficient, and practical AI solutions with proactive communication.