Mór Kapronczay
ML Engineer Contractor at K&H Csoport
Budapest, Central Hungary
Summary
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Rockstar🎓
Top SchoolMór Kapronczay is a lead Machine Learning engineer with 7 years of experience building production ML and NLP systems across fintech, e‑commerce, and enterprise search. He has led teams and end-to-end projects—from creating datasets and benchmarking ranking models at Superlinked to modernizing a Hungarian conversational AI with RAG pipelines at K&H—while maintaining hands-on Python engineering. A consistent competitor on Kaggle and DrivenData with top 1–5% finishes, he combines rigorous model evaluation with practical deployment know-how. Currently contracting on identity risk models and advising on Hungarian NLU, he brings both strategic leadership and deep implementation experience in low-resource language settings. Notably, his background in finance and Bayesian ML study informs a data-driven, risk-aware approach to building robust AI systems.
7 years of coding experience
8 years of employment as a software developer
Member, Economics, Member, Economics at Rajk College for Advanced StudiesSummer School, Bayesian Machine Learning in Social Sciences, Summer School, Bayesian Machine Learning in Social Sciences at Barcelona Graduate School of EconomicsMaster, Finance, Master, Finance at Corvinus University of Budapest
Stackoverflow
51reputation
5kreached
2answers
0questions
Github Skills (62)
vector-search10
retrieval10
vector-database10
information-retrieval10
vectorization10
llm10
vector10
retrieval-augmented-generation10
ai10
nlp10
semantic-search9
python9
natural-language-processing9
deep-learning9
mlops9
Programming languages (3)
Github contributions (5)
morkapronczay/rajk-ml-course
Feb 2022 - Apr 2025
Contributions:1 review, 3 PRs, 29 pushes in 3 years 1 month
morkapronczay/rajk-ml
Oct 2019 - Jan 2022
Contributions:17 pushes, 1 branch in 2 years 4 months
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