Formal & Professional (Standard Resume Style)
Project Description: Conducted deep reinforcement training for Trae IDE’s built-in programming models, optimizing code generation capabilities for complex business logic by constructing high-quality instruction datasets. Key Responsibilities: Designed and annotated high-difficulty task-code pairs utilizing toolchains such as Vebcoding and Cursor. Performed logic audits, breakpoint debugging, and performance evaluations on AI-generated code. Project Achievements: Successfully enhanced cross-file architectural understanding by implementing multi-turn feedback fine-tuning (RLHF) strategies. Achieved a consistent success rate of over 90% in real-world task testing.