Architected and developed an AI tutoring platform that encourages conceptual learning through collaborative multi-agent workflows instead of answer-focused interactions. Designed a four-agent architecture (Supervisor, Teacher, Critic, and Librarian) with adaptive Socratic teaching and asynchronous coordination using Redis and Celery. Implemented asynchronous task processing to improve scalability, maintainability, and separation of responsibilities across AI agents.