Tony Moriarty is a VP of Data Science and co-founder with over 15 years of applied experience building production-grade ML systems and data platforms across startups and Fortune 500s. Based in Sydney, he leads teams specializing in computer vision and deep NLP, owning the full stack from data scraping and semi-supervised learning to containerized deployment on AWS (Glue, SageMaker, CodePipeline). His background at Qualcomm includes scaling analytics for over a million devices, deploying CNNs for autonomous systems, and driving an organizational shift to Airflow for ETL. A hands-on engineer by training (1st class honours in Computer Systems Engineering) who also holds a Masters in Data Science, he blends research-grade modeling with pragmatic production practices like Docker, CI/CD, and observability. Not obvious from titles alone: he’s comfortable presenting technical strategy to C-suite audiences and has repeatedly translated messy, “dirty” data into reliable production features.
11 years of coding experience
12 years of employment as a software developer
BENG/IT, Computer Systems Engineering (1st class honours), BENG/IT, Computer Systems Engineering (1st class honours) at The University of Queensland
Contributions:12 PRs, 21 pushes, 1 branch in 2 months
solrapachelucenejavaapache-lucene
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