Daniel Poliuskevych

I’m a practical, detail-minded person who enjoys building systems that actually work. My background is in automation and computer-integrated technologies, and I’m currently pursuing a Master’s degree with a focus on intelligent data processing and AI-driven systems.

Most of my projects are built in Python, ranging from backend APIs using FastAPI and PostgreSQL to ETL pipelines and data analytics tools. I like connecting parts of a system: collecting data, cleaning it, and turning it into something clear and useful. I’ve also worked with Docker, SQLAlchemy, Pandas, and scikit-learn, and I keep all my projects on GitHub with proper documentation.

I’m most interested in backend and data engineering — writing clean, reliable code, optimizing workflows, and learning how to scale systems. I also enjoy experimenting with machine learning models, especially where they meet real-world data and automation.

Before focusing on development, I spent several years teaching English online. That experience taught me to explain complex ideas simply, work with different people, and communicate clearly — skills that help a lot when writing code or collaborating on a project.

I’m looking for a role where I can keep growing technically, contribute to something meaningful, and learn from experienced engineers. I like solving problems step by step, improving performance, and making systems a bit smarter every day.