İsmail Koçdemir is an Algorithm Development Engineer with nine years of experience building computer vision and machine learning systems, currently advancing radar-related algorithms at Radarsan. He holds a BSc and is completing an MSc in Computer Engineering at ODTÜ, where his research applied GANs to enhance image quality for more reliable object detection in autonomous vehicles. His industry experience spans applied vision work at Rapsodo Sports and algorithm development roles at TUBITAK UZAY, combining practical product deployment with research-grade image processing, clustering, and pattern-matching expertise. Known for a hands-on, model-centric approach—captured succinctly on GitHub as "i try to model my ability to model"—he bridges experimental methods and production constraints to deliver robust perception solutions.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Orta Doğu Teknik Üniversitesi
This is an official repository of End-to-end Lane Shape Prediction with Transformers.
Contributions:71 pushes, 1 branch in 18 days
pytorchnlptransformersend-to-endprediction
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İsmail Koçdemir - Algorithm Development Engineer at Radarsan