Onat Şahin
PHD Candidate
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolOnat Şahin is a PhD candidate at Technical University of Munich with eight years of hands-on experience in computer vision, machine learning and deep learning, specializing in AI-generated content and simulation-empowering models. He has applied NeRF-based 3D reconstruction and synthetic data generation for object recognition, built OCR multi-task networks for historical Ottoman documents, and experimented with few-shot and self-supervised detection pipelines using Detectron2. His work bridges academic research and industry practice through collaborations with Huawei and PreciTaste, combining rigorous experimentation in PyTorch with deployment-minded skills in ROS and point-cloud processing. Based in Munich, he brings a practical focus on robust model training (e.g., manifold mixup, feature pyramid exploration) that reflects both research depth and applied product impact.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Engineering, GPA: 3.63 / 4.00, Bachelor of Science - BS, Computer Engineering, GPA: 3.63 / 4.00 at İstanbul Teknik ÜniversitesiDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Technical University of Munich
Turkish, English, German
Github Skills (7)
visual-recognition8
segmentation8
face-recognition7
face-detection7
object-detection6
computer-vision6
deep-learning5
Programming languages (1)
Github contributions (5)
onatsahin/cs231n
Jul 2018 - Nov 2019
Contributions:3 pushes, 1 branch in 1 year 4 months
onatsahin/ITU_Assignments
Jan 2018 - Jan 2019
Contributions:3 pushes, 1 branch in 1 year
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