Summary
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.
7 years of coding experience