Aspiring Machine Learning & Data Engineer
Building data pipelines and automation β’ CS student (AI specialization) β’ C# RPA Developer @ ING
I'm focused on growing into a Machine Learning Engineer / Data Engineer role. My path runs through real-world automation and data work: I started in logistics, taught myself Python to kill the repetitive parts, and built that into hands-on experience with pipelines, APIs, computer vision, and cloud data tooling.
- π Building toward ML/DE: end-to-end data pipelines, computer vision, and ML projects
- π Studying: Computer Science, specialization in Artificial Intelligence
- π¦ Day job: C# RPA Developer @ ING β automation in a production banking environment
- π₯ Daily coding streak β I ship or learn something every single day
- π± Currently leveling up: ML engineering workflows, data modeling, and cloud data platforms
π¦ JustCV β Urban Traffic Monitor
Real-time traffic monitoring system built on YOLOv8. Detects and counts vehicles, pedestrians, and cyclists from video, with a Gradio web UI and a live demo on Hugging Face Spaces. Hits ~60 FPS at 1080p on an RTX 3060.
Python Β· YOLOv8 Β· OpenCV Β· PyTorch/CUDA Β· Gradio
β Try the live demo
π Market Data Pipeline
ETL pipeline that fetches daily stock market data from the Alpha Vantage API, transforms it with Polars, and stores it in DuckDB β all orchestrated with Prefect and built to run on a daily schedule.
Python Β· Prefect Β· Polars Β· DuckDB Β· httpx
π₯ NFZ Healthcare Data Engineering
End-to-end data engineering project on public Polish healthcare datasets. Built five analytical tables, including hospital geocoding via the Google Maps API, ICD-10 diagnosis data, drug treatment records, and a drug registry parsed from raw URPL data.
Python Β· Polars Β· DuckDB Β· Streamlit
π DCM β Data Catalog for Motorization
Analytical dashboard and data pipeline for Polish vehicle registration data from the CEPIK registry, covering over two decades (2000β2026) of passenger car registrations. Includes a data-quality pipeline (brand normalization, anomaly handling), regional drill-downs down to powiat level, and dedicated EV/hybrid fuel-trend analytics.
Python Β· Polars Β· Streamlit Β· CEPIK API