Summary
Gabor Balazs is a Machine Learning Consultant with 11 years of experience applying ML and quantitative methods across industry and academia. He combines a PhD-era research foundation from the University of Alberta with hands-on roles from Nokia software engineering to quantitative analysis at Causality Group, now consulting at G&G since 2020. His background spans production software, statistical modeling, and teaching, enabling him to translate research ideas into practical, deployable solutions. Based in Cartagena, Colombia, he brings cross-cultural experience and a long arc of technical depth that often surfaces as rigorous experimentation and reproducible pipelines rather than flashy prototypes.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Alberta
Master's degree, Master's degree at Eötvös Loránd University
Hungarian, English, Spanish