Yigit Ozen is a VP of Engineering with 12 years of experience leading applied machine learning and computer vision efforts, currently building product-grade ML, data and infrastructure at ArgosAI from Ankara. His background blends academic research—advancing histopathology image classification using ConvNets, GNNs and self-/semi-/weakly supervised methods—with hands-on software and full-stack engineering experience in graphics and web systems. He has a strong foundation from Bilkent University (BS and MS in CS), teaches and translates research into production-ready solutions, and is comfortable navigating low-data regimes common in medical imaging. Colleagues would describe him as a pragmatic research engineer who bridges rigorous modeling with scalable engineering practices to deliver real-world AI systems.
12 years of coding experience
6 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Bilkent University
Science and Mathematics, Science and Mathematics at Ankara High School of Science
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