Data Platform ML & Events
A cloud platform for ML workloads and event processing. Reporting is central, and load scales with demand.
I read the current architecture, name the risks and sketch a target. Usually before a Kubernetes migration or an LLM rollout starts. Full-stack work sits inside those jobs. It is not a separate offer.
A workspace for food scientists, with separate agents for recipes, ingredients, suppliers and rules. Not one chatbot.
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A cloud platform for ML workloads and event processing. Reporting is central, and load scales with demand.
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