Summary
Merve Barin is a computer vision-focused PhD student and Graduate Teaching Assistant at Purdue University with eight years of hands-on experience spanning research fellowships and industry internships. She has applied ML and vision techniques in academia and commercial settings, including roles at KUIS AI, Hepsiburada, TÜBİTAK, Baykar Technologies, and Arçelik Global, bridging research and product-oriented development. Her trajectory combines rigorous academic training from Boğaziçi and Koç Universities with practical data science and AI engineering experience, enabling rapid prototyping and deployment of vision systems. Notably, she moved from undergraduate research into industry AI intern roles before pursuing graduate research, reflecting a strong early focus on applied computer vision. Based in the United States, she balances teaching, doctoral research, and collaborative projects that translate novel vision methods into real-world applications.
8 years of coding experience
1 year of employment as a software developer
Izmir Fen Lisesi
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Purdue University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Koç University
Bachelor's degree Bilgisayar Mühendisliği, Bachelor's degree Bilgisayar Mühendisliği at Boğaziçi University
İngilizce