About

I'm a data and cloud-focused engineer based in Zurich, with a strong interest in building systems that are both technically solid and genuinely useful for the people who rely on them.

What motivates me most is working across the full path from raw data or vague ideas to clear outputs: pipelines, dashboards, automation, internal tools, and AI-powered products that make decisions faster and operations smoother.

I'm especially interested in data engineering roles and in problems connected to analytics, finance, operations, and scalable product infrastructure.

Most of my interests sit at the intersection of data engineering, cloud architecture, and applied AI. I enjoy designing data flows, shaping analytics-ready models, orchestrating workflows, and creating systems that are easy to reason about in production.

I also like projects where technical execution needs business context: forecasting, metrics, internal search, operational dashboards, or automation that saves time and reduces manual work.

I value clear thinking, maintainable systems, and honest trade-offs. I prefer robust foundations over unnecessary complexity, and I care about documentation, naming, observability, and handoffs just as much as shipping code.

My goal is simple: build things that work, make them understandable, and leave them in better shape than I found them.