Projects

Book Summarizer

An AI-powered learning platform that transforms books and course materials into an intelligent study system. Think of it as GPS for learning - it tells you what to study next based on your knowledge gaps.

Key features

• Hierarchical summaries - Book → chapter → section breakdowns at multiple detail levels
• Spaced repetition - Extracts testable facts and schedules reviews using SM-2
• Cross-source search - Semantic search across all uploaded content
• Adaptive assessment - Quizzes that adjust difficulty based on your responses
• Course mode - Turn slide decks into deep lectures

This is my most ambitious project - a full-stack application with background task processing (Celery), vector embeddings for semantic search, and a React frontend.

zero (zero2bevy)

A learning project for Rust and graphics programming. I wanted to understand rendering from first principles before using a game engine.

The journey

• Phase 1 - Pure math rendering. No GPU, just CPU calculations to understand how pixels get drawn.
• Phase 2 - Moved to wgpu. Learned about GPU pipelines, shaders, and how graphics APIs actually work.
• Goal - Eventually progress to Bevy with a solid understanding of what's happening under the hood.

This is how I prefer to learn: start from zero, build up understanding layer by layer.

Redis Clone

A Redis implementation from the Codecrafters challenge. Building it from scratch taught me about:

• RESP (Redis Serialization Protocol)
• In-memory data structures for key-value stores
• TCP server implementation in Go
• Handling concurrent connections