Data Professional | Strategist | Problem Solver
In IT and data engineering, the challenge isn’t just building systems. It’s building them to last. For me, this means prioritizing clarity in architecture, data models, and pipelines, ensuring every component is modular, scalable, and—above all—explainable, whether through documentation or a diagram. Clear responsibilities in design and implementation prevent ambiguity and ensure maintainability.
When it comes to AI, I recognize its huge potential but prefer understanding over blind trust. If we use AI-generated solutions, let's ensure we can fully grasp and document how they work.
In teams, I value clearly defined responsibilities and a constructive attitude, as it reduces friction, builds mutual trust, and ensures everyone can contribute their best.
Data Engineer | 2023 - Present
Algorithm and Client Facing Engineer | 2019 - 2023
MSc Mathematical Modelling & Scientific Computing | Distinction
MSc Physics (Quantum Universe) | Cum Laude
BSc Physics & Mathematics | Cum Laude