Experience Notation (.expn) is a human-readable DSL for modelling structured user journeys. It bridges qualitative design with simulation and LLM-driven analysis.

Comparing prompt engineering, RAG (LangChain + ChromaDB), and LoRA fine-tuning for persona-consistent LLM chatbots. Built with LLaMA 3.1 8B, Gradio, and HuggingFace.

Source for the Experience Notation documentation site. Includes language spec, tutorials, and examples.

Unsupervised clustering on synthetic banking data to segment customers into financial persona types — covering spend behaviour, income, debt, and demographic profile.