Dorian Van den Heede
Dorian is a Machine Learning Engineer at Dataroots, leveraging his background in Computer Science Engineering and over 5 years of industry experience across various client projects. His forte lies in implementing machine learning models in production while adhering to robust software practices.
Outside the realm of tech, Dorian finds solace and joy in diverse interests. He was a driving force of the AI music band Beatroots, where he explored the fusion of AI and musical creativity. Additionally, he enjoys expressing himself through punk rock songs on his guitar and occasionally blitzes chess moves online.
Sessions
Do you find it takes too long to deploy your ML models responsibly in production? Say goodbye to complex integrations of containerized training and inference, preprocessing pipelines, model registries, monitoring frameworks, feature stores, and prediction stores. As demonstrated in this talk, all of these concepts can be easily implemented within dbt using only Python and SQL, the two languages data scientists truly love to write in.