Kirill Fisyukovich

About

I am a Python Backend Developer from Brest, Belarus. I like building systems that are simple enough to operate, but strong enough to survive real production traffic: APIs, admin tools, integrations, data pipelines, background workers, and AI features with clear boundaries.

I enjoy the engineering space where backend code meets the physical world: networking, hardware-adjacent products, computer vision, video processing, and operational tooling. I have worked on restaurant platforms, media workflows, ClickHouse analytics, Telegram bots, parsing systems, payment features, and computer vision for buffet hardware.

What I Care About

Reliable backends. I prefer explicit data models, readable migrations, predictable queues, useful admin panels, and logs that explain what happened.

Python as a production tool. I like FastAPI, Django, PostgreSQL, ClickHouse, Celery, RabbitMQ, Redis, SQLAlchemy, Docker, and the quiet discipline of making these pieces easy to debug.

AI without fog. I am interested in AI systems that are treated like real software: typed contracts, evaluation, state machines, retrieval traces, latency budgets, and human-readable failure modes.

Practical speed. Fast systems are not only about benchmarks. They are about fewer moving parts, fewer network hops, good database choices, and code that does not surprise the next person who reads it.

Interests

Outside of day-to-day backend work, I like exploring networking, Linux tooling, computer vision, backend architecture, product operations, and the strange edge where software starts controlling real devices. I also enjoy writing technical notes because it forces vague ideas to become precise.

Currently

I am focused on Python backend engineering, AI infrastructure patterns, admin tools that make products easier to operate, and systems where performance and maintainability matter at the same time.