About Me
I work at the intersection of computer vision, computer graphics, and machine learning, building AI systems that extract structure and meaning from complex visual data.
My path has taken me from academic research at the Perceiving Systems Department of the Max Planck Institute for Intelligent Systems to applied AI roles across health, sports technology, and industrial vision. At each stage, my focus has remained the same: turning visual data into structured insights and scalable real-world workflows.
Today, I work at Cubert GmbH on AI frameworks, agentic tools, and data-processing systems for hyperspectral imaging, making advanced computer vision workflows more scalable, automated, and practical for industrial use.
I combine research depth with engineering execution and product-oriented AI leadership, with experience spanning 3D human understanding, visual representation learning, applied machine learning, and AI system design.
I hold a BSc in Electrical Engineering from Tabriz Azad University, Iran, and an MSc in Neural Information Processing from Eberhard Karls University of Tübingen, Germany.