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Platform architecture
Design cloud platforms for data, ML and AI, with a clear path from the target architecture to the first working version.
Independent consulting · Stockholm
Architecture, engineering and delivery leadership for companies putting machine learning and AI into everyday use.
Get in touch01 /
Design cloud platforms for data, ML and AI, with a clear path from the target architecture to the first working version.
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Deliver ML use cases, from modelling and pipelines to production scoring, with the engineering needed to keep them running.
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Lead platform teams, connect business priorities with engineering work, and stay involved in the implementation.
Founder & consultant
Stockholm, Sweden
My background spans more than a decade in statistics, data science and ML engineering. I combine hands-on implementation with platform architecture and delivery leadership.
I founded Apply Machine Learning Sweden AB in 2019. Through ApplyML, I bring that experience directly to the teams I work with.
Designed and built cloud ML platforms, onboarded teams and led delivery for an AI platform covering model serving, retrieval and agent tooling.
Delivered ML use cases for customer propensity scoring, including churn, price-plan changes and hardware changes, to support customer retention and relevant offers.
Turning uncertain model outputs into useful actions, then measuring what happened. Built automation to prioritise the next customer action based on expected uplift, churn risk and customer value, with A/B testing to evaluate outcomes.
Developed resource allocation models, staffing and care-demand forecasts, and statistical systems to support planning and decisions.