Kyrylo Kryzhanovskyi

I’m a Python backend engineer focused on building production-ready APIs and data systems with FastAPI, PostgreSQL, and Docker. I like turning complex requirements into clean, testable architecture—routers to services to repositories—so teams can extend features without breaking what already works.

On real shipped work, I improved performance by 40% through async query optimization, while maintaining 80%+ test coverage across unit and integration layers. I also care about reliability details like authentication correctness and keeping runtime behavior consistent under load.

In my current project, I built a visual Logic-to-Code platform (“Codeess”) by designing a core translation engine that parses node-based graphs into executable Python. I implemented a versioned PostgreSQL schema to store and diff complex node graphs, supporting rollback and configuration history for user workflows.

I also built a Hotel Management & Booking System with layered backend design, JWT auth, and role-scoped permissions. By moving critical booking endpoints to SQLAlchemy 2.0 async sessions and using Redis for TTL-aligned session data, I kept API response times low and auth overhead constant.