About

I build systems,
not just projects.

A Berlin-based Data Science & AI student focused on data platforms, automation systems, analytics engineering, and applied AI.

I’m a Data Science & AI student based in Berlin, with a strong interest in production systems, data infrastructure, and AI-native product thinking.

My work spans backend integrations, analytics pipelines, dashboard architecture, and applied machine learning. I enjoy designing systems where each layer has a clear purpose — ingestion, validation, transformation, storage, and insight delivery.

I’ve worked on GoHighLevel integrations, marketing analytics pipelines, dashboard systems, and AI workflow architecture in real business settings, where speed, reliability, and clarity matter.

I’m especially interested in opportunities across Data Engineering, Analytics Engineering, AI Systems, and Data Science — ideally in teams building serious products with real-world impact.

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Systems Thinking
I map the data flow before I write code — sources, storage, transformations, failure points, and downstream consumers.
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Business Context
I care about what the system enables: a decision, an automation, a better workflow, or a measurable business improvement.
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AI-Native Execution
I treat AI like engineering — structured inputs, robust workflows, experimentation, and production realism.