Nathan Faggian is a seasoned AI and engineering leader with 14 years of experience turning computational science into operational impact across government and cloud sectors. Currently Head of Delta AI (FDE) for JAPAC at Google, he has built and scaled multi-geo AI practices that delivered hundreds of ML projects, drove significant regional growth, and shaped GTM offerings across six sub-regions. His background spans hands-on model development and productionisation—from numerical weather and fire prediction at the Australian Bureau of Meteorology to anti-malware analytics at Microsoft—giving him rare depth in both scientific research and large-scale cloud delivery. Known for coaching high-performing teams and advising CxOs, he blends technical rigor (PhD in machine learning/computer vision) with a pragmatic focus on public-good outcomes and measurable customer value. An avowed "Head in the clouds," he excels at translating ambitious AI concepts into repeatable services and strategic engagements across the Asia Pacific.
15 years of coding experience
5 years of employment as a software developer
PhD, Machine Learning : Computer Vision, PhD, Machine Learning : Computer Vision at Monash University
Linear and non-linear image registration methods, using scipy and numpy.
Contributions:92 commits in 1 year 6 months
image-registrationnumpyscipy
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