Marco Hanna

Background

About Marco Hanna

I am a Master’s student in Data Analytics at the University of Hildesheim with expertise in machine learning, deep learning, computer vision, and large language models (LLMs). My experience spans both industry and research, including AI-driven industrial layout planning, point cloud segmentation, and voice automation in VR. At Halocline, I lead research on LLM-based factory layout automation, utilizing structured prompts to generate 2D and 3D work area designs in JSON format. My work also includes point cloud segmentation for object recognition and evaluating AI models for voice-driven VR automation. Previously, at Robert Bosch Corporate Research, I worked on semantic segmentation, computer vision pipelines, and optimizing ROS-based video processing. I am passionate about AI-driven automation, spatial reasoning, and advancing AI applications in industrial and VR environments. With a strong foundation in Python, PyTorch, NLP, and AI model development, I am eager to contribute to cutting-edge research and innovation.