He has been working in machine learning (ML) and AI product development, data platform, ML/AI best practice and academic research since 2009. He received his PhD degree and Post-doctoral in Machine Learning application in biometrics from National Institute for Applied Statistics research Australia, University of Wollongong, Australia. Currently, he is working in Suncorp as a principal AI scientist and technical lead of AI Centre of Excellence to build scalable and reproducible ML/AI development and deployment platform as well as establishing an ML core engineering discipline. Before joining Suncorp, Payam was at Tabcorp, Macquarie Bank, Domain Group and Optus where he was integral part of data science and machine learning functions who mainly involved transitions, product development, model deployment, data and platform.
Payam’s main area of expertise are in establishing scalable platform for end-to-end ML and AI product development application in fraud detection, money laundering activity analysis, automated quality assurance, anomaly detection and pattern recognition in general. Payam has been actively working with universities and research institutes on state-of-art data science and machine learning technologies. He has also been keynote speaker in several international conferences and publishing scientific articles in high-profile computer science and statistical journals.