Raid Arfua

Head Of AI at Cloverpop

Prague, Prague, Czechia
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Summary

👤
Senior
🎓
Top School
Raid Arfua is a Head of AI with 10+ years building production-grade ML systems and leading cross-functional teams from Prague, blending deep technical hands-on experience in recommender systems, computer vision and LLMs with product-first strategic leadership. He has moved teams from R&D to reliable delivery—designing modular recommendation engines, agentic AI proofs-of-concept, and decision-intelligence platforms that drove revenue growth and operational efficiency. A practiced conference speaker and educator, Raid translates complex ML ideas into business outcomes and has presented at major industry events across Europe. His background in probability/statistics and financial economics gives him a rare ability to couple rigorous quantitative thinking with pragmatic engineering and strong code quality standards. He thrives on collaborative brainstorming and both bottom-up and top-down product discovery to ensure scalable, high-impact AI solutions.
code10 years of coding experience
job10 years of employment as a software developer
bookMA in Business Economics, Diploma with Hons, Financial economics, MA in Business Economics, Diploma with Hons, Financial economics at Kyiv School of Economics
bookMaster's degree, Theory of probability and mathematical statistics, Master's degree, Theory of probability and mathematical statistics at Taras Shevchenko National University of Kyiv
bookMathematics, Programming, Physics, Mathematics, Programming, Physics at Ukrainian Physics and Mathematics Lyceum
languagesEnglish, Ukrainian, Russian
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Github Skills (8)

reinforcement-learning-environments9
monte-carlo-tree-search8
reinforcement-learning8
server6
3d-detection4
classification4
object-detection3
pose-estimation3

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Arfua/General

Nov 2015 - Nov 2016

Contributions:6 commits in 1 year
Workshop: Person Classification in Sports
Contributions:3 commits, 3 PRs, 1 push in 1 month
classification
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