Product thinker and hands-on AI builder with a background in technical strategy and data analysis.
I’m interested in how AI and data can help people make better decisions. I build prototypes to explore that question—from defining the user’s problem and shaping the experience to testing the system and understanding its limitations.
I use AI-assisted development to turn ideas into working products and demos, with a focus on useful experiences, clear trade-offs, and honest evaluation. Here, I share what I build, the decisions behind it, and what I learn along the way.
🔎 Frame the problem → 🛠️ Build & test → 📊 Evaluate → ✍️ Share what I learn
Helping Georgia students explore scholarships, understand potential matches, and plan their next steps. Combines cited AI explanations with explicit eligibility checks and visible uncertainty.
Product focus: Guided discovery · Trust · RAG evaluation
Course demo with a limited corpus; not a final eligibility determination.
Live demo · Case study · Code & product decisions
Helping event operations leads spot attendee friction and decide where to investigate. Brings queues, occupancy, feedback, and support signals into an interactive dashboard.
Product focus: Decision support · Data storytelling · Human judgment
Synthetic data and simulated replay; no LLM or automated dispatch.
Exploring: AI evaluation, retrieval-augmented generation, and tools that help people make better decisions.