Developments

These projects translate my trustworthy AI research direction into interactive systems, demos, and product-quality prototypes. The goal is to connect model behavior, transparency, evaluation, and user interaction in real systems while also showing the engineering judgment needed to build and deploy them.

MASTOPIA: Transparency-Aware LLM Analysis Demo

MASTOPIA is a Streamlit demo for LLM-assisted intelligence analysis. It operationalizes MAST-style transparency ideas through an interactive workflow with model conditions, evidence retrieval, model information, session management, and activity logging.

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System highlights

• Multi-agent architecture with supervisor, retriever, and general AI agents.
• Streamlit chat interface with model information controls and sidebar state.
• Session management and activity logging for research evaluation.
• RAG-oriented stack using LangChain / LangGraph, OpenAI APIs, FAISS, and Google Cloud / Firestore components.

Sprout: Product-Quality Engineering Build

Sprout is not a research project, but it shows my interest in building usable real-world systems with care for interaction quality, reliability, and user-facing product details.

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• Full-stack bilingual social app with authentication, profiles, public sharing, responsive UI, dark mode, and Supabase-backed persistence.
• Built with a high-quality agentic coding workflow while retaining ownership of product direction, architecture, testing, and final code quality.
• Included here as engineering evidence alongside my primary research work.