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Resume (English only)
Academic Achievements
Published papers: 'Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning', 'Visual Domain Bridge: A Source-Free Domain Adaptation for Cross-Domain Few-Shot Learning', 'Shift and Scale is Detrimental To Few-Shot Transfer'.
Research Experience
Has a 10-year journey from back-end and front-end development to system design; involved in research projects on batch normalization in few-shot transfer learning.
Education
Master's degree in AI and Robotics from the University of Kurdistan
Background
A machine learning engineer with a research background. Skilled in Python, Neural Networks, and academic research. Holds a Master's degree in AI and Robotics from the University of Kurdistan. Aims to solve interesting problems as simply and elegantly as possible.
Miscellany
Describes himself as a child-minded creative introvert, never gets tired of learning new concepts, and surpasses others by connecting ideas and empathic viewpoints. Values ethics and morality.