planner
LLM Parser
Converts the natural-language roster request into team, goal, top-k, recent-game window, and availability filters.
about
This portfolio presents projects as product-like systems rather than static screenshots. The goal is to make model behavior legible: what goes in, what happens in the middle, what comes out, and where the limits are.
This version uses a Next.js frontend with a FastAPI backend wrapper, so the interface can preserve the original project logic while making the system traces easier to inspect.
Focus
AI
agent workflows and model reasoning
Interface
UX
dashboards for readable systems
Delivery
fullstack
Next.js frontend + FastAPI backend
working style
planner
Converts the natural-language roster request into team, goal, top-k, recent-game window, and availability filters.
planner
Analyzes the stem and choices, extracts keywords, selects facts needed, and proposes biomedical tools.
classifier
Uses known smoker status directly, or estimates smoker probability for unknown status.
stack