AI agent and prompt-engineering projects (SQL assistant, Pandas data analysis agent, and RAG engine) with evaluation-oriented iteration; team leadership and junior guidance in AI workflows.
Google Cloud Vertex AIBuilt and iterated AI-assisted workflows for generating outputs from natural-language prompts using custom agent prototypes and LLM tooling. Focused on evaluating agent behavior by debugging, refining prompts, and improving downstream results for task completion. Applied prompt engineering and LLM evaluation concepts to strengthen reliability and correctness of AI responses. • Developed an AI-powered SQL assistant that translates natural language requests into SQL queries. • Created a Pandas-based data analysis agent for interpreting structured datasets through conversational prompts. • Implemented a Retrieval-Augmented Generation (RAG) engine in pure Python to improve retrieval and backend AI logic. • Led and guided student teammates on prompt and beginner AI workflows during academic project execution.