Mór Kapronczay

Machine Learning Engineer

Budapest, Central Hungary
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Summary

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Rockstar
Mór 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.
code7 years of coding experience
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Github Skills (59)

vector-search10
python10
retrieval10
ocr10
inference-engine10
vector-database10
inference10
information-retrieval10
semantic-search10
llm10
vector10
retrieval-augmented-generation10
mlops10
deep-learning10
llmops10

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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morkapronczay/rajk-ml-course

Feb 2022 - Apr 2025

Contributions:2 reviews, 5 PRs, 32 pushes in 3 years 2 months
morkapronczay/rajk-ml

Oct 2019 - Jan 2022

Contributions:17 pushes, 1 branch in 2 years 4 months
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