AI-assisted development for the chatbot prototype
Developed an AI-enabled project prototype using Python with FastAPI to orchestrate LLM requests and manage the chatbot runtime. The labeling-adjacent activity is centered on engineering the conversational prompt/response behavior and instrumentation needed for later training or evaluation. The prototype emphasizes repeatable interaction patterns and observability for iterative improvement. • Built the chatbot service backend with FastAPI for structured LLM interaction. • Implemented request/response handling to support conversational turn-taking. • Added metrics and monitoring hooks to enable performance review. • Used AI-assisted development to accelerate prototyping of the chat workflow.