I’m a results-driven Data Scientist with a strong background in computer vision and deep learning. I enjoy leveraging tools like Python, PyTorch, and JAX to build and optimize deep learning models, and I’m passionate about creating efficient data pipelines that handle large-scale data with ease. Working at companies like CARIAD and Siemens Bank, I’ve gained valuable experience in both research and practical implementations.
I graduated with distinction from the Technical University of Munich in Data Engineering and Analytics and have always been fascinated by spatial modeling and 3D reconstructions. I find joy in solving complex problems and continuously improving my skills in machine learning and cloud technologies. Outside of work, I appreciate collaborative environments and enjoy sharing knowledge to drive innovation.
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