Summary
Christian Kiær is a Senior AI Engineer based in Copenhagen with 12 years of experience bridging data science, machine learning, and domain-focused research. Trained in software technology and aquatic science, he transitioned from a PhD developing ensemble forecasts for global fish recruitment into applied ML roles, bringing a rare combination of ecological forecasting and production ML expertise. He has helped build personalised learning systems and LLM-driven features at Alice.tech and now leads AI engineering efforts at The Tech Collective, focusing on end-to-end model deployment and performance optimisation. His background in climate and marine data (including satellite and large observational products) informs a pragmatic approach to noisy, high-dimensional data and operationalising robust models. Colleagues value him for turning complex scientific problems into reliable, production-ready solutions that balance rigor with scalability.
12 years of coding experience
1 year of employment as a software developer
Technical University of Denmark