I work across data engineering, software quality, and practical automation. I build tools, connect systems, and turn complex technical topics into useful learning material. I’m interested in AI agents where they help get real work done — with clear limits and results that can be checked.
My background spans business intelligence, analytics, and data engineering, including work at PwC and Quantlane. My experience includes data platform architecture, Python pipelines, software quality, and operational reliability.
As a technical lead, I’ve shaped the team’s technical direction and architecture decisions, held regular 1:1s, and helped engineers grow their technical skills.
I value maintainable systems, explicit trade-offs, and practical solutions over unnecessary complexity.
I wanted clean, fast election-night results without ads and commentary around them.
my role
Built it alone: data loading, backend, frontend, deployment.
decisions
The first version was a Power BI report refreshed by hand. Later versions used a Python backend that polled the official results feed of the Czech Statistical Office, stored it in PostgreSQL and showed it in a Streamlit app, each part in Docker. In 2025 I wrote the backend myself and let an AI coding agent generate the frontend.
Winning team project at the Data Science & BI Academy (VŠE, 2019/2020). We merged 12 years of Czech police accident data, engineered features and compared classifiers to find what makes an accident deadly. A collision with a pedestrian was the strongest predictor.
Volunteered as a data engineer and consultant on several projects. Mostly projects that helped people after the start of the war in Ukraine, such as Movapp, Stojíme za Ukrajinou, UMapa and Místo ve škole, where I automated and connected data loads. Also internal reporting pipelines in Keboola, SQL, Python and Snowflake.
Using Tableau for data visualization in everyday work.
About
SELECT * FROM about_me
I started in BI and reporting, moved through data science, and ended up in data engineering. Outside work, I’m into table tennis, cars, travel, and building tools that make everyday life easier.
MSc (Ing.) in Information Systems and Technologies – Business Intelligence, Prague University of Economics and Business, 2022, with a thesis on MLOps with Kubeflow.
Contact
SELECT email FROM contact
Interested in data engineering, Python, or practical AI? Get in touch.