Ali Emre Aksoy

Business Analysis / Solutions Architecture & Design / Requirements Engineering (BMW AG | Munich) AI solutions design and development (rpc- The Retail Performance Company | Munich) AI Task Force member

Designed and implemented AI-powered document transformation systems using OpenAI APIs, enabling scalable processing of unstructured enterprise data. Developed an SAP-integrated AI chatbot with RASA to support internal decision workflows and reduce manual information retrieval. Automated end-to-end content-generation pipelines with UiPath and LLMs, reducing operational effort and improving turnaround time.

Investigated the applicability of Koopman operator theory to modeling nonlinear dynamics within a flight controller framework. Analyzed the system's observables and demonstrated that the controller's inherent non-linearity could not be linearized into any finite-dimensional Koopman-invariant subspace. Identified a non-linearity pattern whose complexity scales with dimensionality, proving the impossibility of a finite- dimensional linear representation via Koopman methods.

Minor

Grade: Good ("gut"). Thesis: "Analyzing Stable and Expressive Positional Encodings for Graph Neural Networks"