Robert Cvitkovič
Ljubljana, Slovenia
Summary
🤩
Rockstar🎓
Top SchoolRobert Cvitkovič is a data engineer and scientist with 10 years of experience building scalable data systems, ETL pipelines, and ML-driven analytics, grounded in a Master’s in Computer and Information Sciences. He has delivered production-ready solutions across academia and industry—from RNA-seq biomarker development at Genialis to real-time transport data processing and ELK/Cassandra/Kafka stacks at XLAB. A long-time contributor to the Orange3 data mining project, he has improved widget functionality and test automation, reflecting a pragmatic focus on reliability and developer experience. Based in Ljubljana, he blends hands-on PySpark, Apache Iceberg, and ClickHouse expertise with a detail-oriented, analytical approach to optimize data workflows for performance and maintainability. Notably, his background spans both research-driven bioinformatics and large-scale engineering, enabling him to translate complex scientific datasets into actionable, production-grade systems.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Computer and Information Sciences, Master's degree, Computer and Information Sciences at University of Ljubljana, Faculty of Computer and Information ScienceHigh school, High school at Gimnazija Črnomelj
English, German, Slovenian
Stackoverflow
11reputation
815reached
1answer
1question
Github Skills (13)
machine-learning10
orange10
python10
data-analysis10
data-visualisation9
data-visualization9
data-visualizations9
pandas8
numpy8
scikit7
scikit-learn7
pyqt6
pyqtgraph6
Programming languages (5)
Github contributions (5)
biolab/orange3
Jun 2018 - Jun 2020
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Role in this project:
Back-end Developer & QA Engineer/Test Automation Engineer
Back-end Developer & QA Engineer/Test Automation EngineerContributions:82 commits, 35 PRs, 3 pushes in 1 year 11 months
Contributions summary:Robert primarily focused on enhancing the `Orange3` data analysis library by implementing features and addressing testing aspects. Their contributions included adding an auto-apply button to the `owmergedata` widget and writing corresponding tests. Further work involved adding and testing time variable functionality within the `oweditdomain` widget, and fixing related issues. These changes suggest a focus on improving the functionality and reliability of specific widgets and their interactions with the library's data handling capabilities.
orangepythondata-miningorange3scipy
robertcv/orange3
Jun 2018 - Jun 2020
🍊 :bar_chart: :bulb: Orange: Interactive data analysis https://orange.biolab.si
Contributions:88 pushes, 63 branches in 1 year 11 months
data-analysisorangechartdata-sciencebar-chart
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