Bio

I got a passion for data and building stuff, from modelling to translating data to explainable information. And from simple applications to complex engines. For me, it was a natural fit to start both Enjins and Deeploy to help others with building explainable and transparent ML engines. With Enjins we build Machine Learning applications for innovative, fast growing organizations throughout Europe. We start with our ML audit, for both entrepreneurs and their investors. We develop the ML infrastructure and first models. And together we make sure everything runs and stays in production, the MLOps lifecycle. Deeploy offers a platform for explainable (XAI), manageable (MLOps) and accountable Machine Learning in production. We work together with both innovative scale-ups as well as well trusted organzations in the medical, financial, high tech industry, and cooperate with several universities.