Summary
Afshin Khadangi is a research-focused machine learning engineer with a PhD in Biomedical Engineering and eight years of experience applying deep learning to real-world problems across energy, finance, and healthcare. Currently a Research Associate in LLMs at the University of Luxembourg, he bridges cutting-edge language models with practical ML pipelines informed by prior roles as a senior data scientist at Tally Group and data scientist at Westpac. His work spans computer vision and language processing, with notable applied achievements in energy load disaggregation, EV and solar fingerprinting, tariff optimization, and near-real-time carbon tracking. Afshin combines rigorous academic training from the University of Melbourne with hands-on production experience, moving models from research prototypes to deployed systems. He brings a cross-disciplinary perspective—pairing biomedical engineering rigor with sustainability-focused data science—to uncover signals in complex sensor and text data. Colleagues value him for translating advanced ML into measurable operational and environmental impact.
8 years of coding experience
6 years of employment as a software developer
Amirkabir University of Technology
The University of Melbourne
English, Turkish, Persian, Azerbaijani