Summary
Reuben Van Ammers is a Machine Learning Engineer based in Melbourne with nine years of experience building data pipelines, ML models, and production services across startups and enterprise teams. Currently at Canva, he brings strong Python and Google Cloud expertise—BigQuery, Dataflow, App Engine and Airflow—from prior ML and data engineering roles at Eliiza, Mutiny and ANZ. His work spans end-to-end ingestion, transformation and analysis (including sentiment and time-series) and he’s comfortable converting messy marketing and transactional sources into analytics-ready datasets. With a Master’s in Applied Mathematics and a background in mathematical physics, he combines rigorous quantitative foundations with practical engineering to ship reliable systems. Colleagues describe him as the bridge between research-grade modelling and production-grade pipelines, often focusing on reproducibility and testable microservices. Outside of work he blends an interest in societal impacts of technology with a quirky personal curiosity that keeps his solutions human-centred.
9 years of coding experience
4 years of employment as a software developer
The University of Melbourne