ForgeQB

An adaptive quizbowl study app with 500+ users, recommending from 160,000+ questions clustered into micro-categories.

• Lead 4-dev team building an adaptive quizbowl study app (500+ users) across Electron, FastAPI, and PostgreSQL stack.
• Engineered NLP ingestion, topic clustering and production epsilon-greedy softmax recommender (160,000+ questions).
• Prototyped RL recommender (DQN) against production softmax system using simulated student across varied reward structures.