Rafael Irgolič
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolRafael Irgolič is a software engineer and founder with nine years’ experience building scalable data-driven systems, generative AI products, and interactive analytics. He has moved between hands-on engineering and leadership—from architecting flow-based component engines and static type checkers at an insurtech startup to co-founding and scaling early-stage AI companies and advising university AI initiatives. Rafael is an active open-source contributor to Orange3, improving interactive data analysis, widget usage prediction, and integration with pandas for more reliable analytics. Comfortable across the stack, he pairs pragmatic product instincts (grant-winning UX and rebranding work at Orange) with deep technical curiosity—he reads Python PEPs and patch notes for fun. Based in the UK, he brings startup grit, mentorship experience, and a track record of turning research-grade tools into user-ready systems.
9 years of coding experience
5 years of employment as a software developer
Master in Science (Honours), Computer Science, Master in Science (Honours), Computer Science at University of St AndrewsInternational Baccalaureate Bilingual Diploma, International Baccalaureate Bilingual Diploma at Gimnazija Bežigrad
Slovenian, English, German, Japanese, Serbian
Github Skills (23)
python10
data-analysis10
data-science9
data-mining9
data-visualization8
data-visualisation8
machine-learning8
data-visualizations8
algorithm7
numpy7
machine-learning-algorithms7
data-structure7
scikit-learn7
pandas7
scikit7
Programming languages (13)
Github contributions (5)
biolab/orange3
Jul 2018 - Aug 2021
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:16 reviews, 370 commits, 107 PRs in 3 years 2 months
Contributions summary:Rafael's contributions centered on enhancing the interactive data analysis capabilities of the Orange3 library. The commits indicate the user worked on core logic related to suggestion frequencies, incorporating directionality and storing link data. Further commits show the user adding functionality for frequent usage prediction, including widget use frequency pickling and the integration of default suggestion weights.
orangepythondata-miningorange3scipy
irgolic/orange-canvas-core
Jun 2019 - Aug 2021
Orange Canvas core workflow editor
Contributions:125 pushes, 67 branches in 2 years 1 month
orangecanvasworkflow-editordataflow-programmingfabricjs
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