Third-year Engineering & Data Analysis student at Rzeszów University of Technology.

I focus on data analysis and machine learning — from cleaning and exploring data to building and validating models. I like the analytical approach: map the options first, then pick the one that actually holds up. My current deep dive is anomaly detection and the data pipelines that feed it.

I'm comfortable down at the technical layer, not just in the notebook — packaging models behind APIs, containerizing them, and keeping the whole thing reproducible.

Languages

Python as my daily driver, plus C++ and SQL for relational data.

Data engineering & BI

Building ETL pipelines, modeling OLAP cubes, and building dashboards for analytical workloads.

Data, ML & DL

From data wrangling and visualization to classical ML, deep learning, and reinforcement-learning environments.

Serving & infra

Serving trained models as REST APIs in containerized, reproducible environments.

Workflow & docs

Version control, prototyping, editing, and technical writing.

• Automatic generation of training data for anomaly-detection models — building tooling, training, validating on open datasets.
• Making ML projects that don't just run once, but ship: API + container + clean repo.

Tinkering with cybersecurity as a hobby — Blue Teaming, DFIR, threat intelligence, and where it overlaps with my day-to-day tasks.