AI Tutor

Designed and developed an AI-powered tutoring platform focused on helping students develop deeper understanding through personalized, interactive learning experiences.

The platform uses a modular backend architecture built with Python, FastAPI, PostgreSQL, SQLAlchemy, and Alembic to manage student interactions, learning context, academic objectives, and tutoring workflows.

Rather than simply providing answers, the AI Tutor is designed to guide students through their reasoning, adapt its instructional approach to their needs, and help identify when additional human support may be necessary.

Built a modular backend architecture with FastAPI and PostgreSQL.

Designed structured tutoring workflows for processing student messages and managing asynchronous AI interactions.

Implemented authentication, request idempotency, background job processing, and database-backed state management.

Developed a learning-context architecture to organize student evidence, interpretations, academic objectives, and learning progress.

Designed AI tutoring behavior around student reasoning, adaptive instruction, and appropriate instructional support.

Established automated evaluation and testing workflows to assess system behavior and reliability.

Designed for collaboration between students, teachers, parents, and educational organizations, with role-based access and tenant isolation.

Technology: Python, FastAPI, PostgreSQL, SQLAlchemy, Alembic, Pydantic, AI/LLM integration.

Vision: Build a learning platform that helps students become better thinkers and independent learners while giving the adults supporting them better insight into their academic development.