At Nordex SE, I migrated a legacy MATLAB codebase to Python and developed reusable tools for engineering data analysis. I also built a Tkinter application for test-data processing and visualization, along with interactive Bokeh visualizations for anomaly detection and system analysis.
For my TUHH master thesis, I developed a deep reinforcement learning framework for autonomous UAV navigation in AirSim. I implemented Soft Actor-Critic for continuous-control navigation, integrated depth-camera input with a custom CNN feature extractor, and evaluated trajectories, actions, and navigation outcomes.
Earlier, I analyzed production data using Six Sigma methodologies during an internship at Daimler AG (Mercedes-Benz Turk), and assisted with PLC programming and control logic at Onersan Packaging Machines. My work combines software engineering, control systems, and robotics.
