Summary
Laszlo Aszalos is a software developer based in Debrecen, Hungary with nine years of experience building financial modelling, test automation, and report generation solutions. Currently at Norbit Hungary, he combines practical engineering with a strong research background in AI—authoring over 20 articles on correlation clustering. Comfortable as a "do-all person" on GitHub, he brings both hands-on coding and analytical rigor to deliver reliable, data-driven systems. His work sits at the intersection of applied finance and machine learning, enabling clearer insights through automated reporting and robust testing. Less obvious: he pairs academic depth with product-focused delivery, translating complex clustering research into pragmatic tooling for production environments.
9 years of coding experience
English, French