Felix Schaller

My professional background spans multiple technical domains — including mechanical and aerospace engineering, computer graphics and vision, and AI- and NLP-driven software systems — connected by a consistent systems-engineering and model-based approach.

Across all roles, my focus has been on translating complex, real-world phenomena into explicit, formal models that can be analyzed, simulated, validated, and automated. This includes model-based system design in safety-critical automotive and aerospace contexts, semantic and knowledge-based modeling for language-driven AI systems, and physically grounded modeling in aerodynamics and simulation-heavy deep-tech environments.

I specialize in building structured representations that bridge domain knowledge and software systems, using technologies such as Python, Java, model-driven engineering frameworks, graph-based data structures, and modern AI/NLP tooling. This model-centric perspective allows me to work effectively across domains that, while diverse in subject matter, share a common need for rigor, abstraction, and traceable system behavior.

As a result, I am comfortable operating at the intersection of engineering, data, and AI, particularly in roles that require architectural thinking, cross-domain integration, and the ability to reason about complex systems beyond a single discipline.