Summary
Oğuzhan Kar is a machine learning researcher with seven years of experience bridging academic rigor and industry impact, currently working on advanced ML at Apple after completing a PhD in Computer Science at EPFL. His doctoral work focused on scaling modalities in multimodal foundation models, reflecting deep expertise in large-scale model design and cross-modal learning. He has applied this research in industry settings through roles at Google and ASELSAN, combining computational imaging, hardware-aware methods, and system-level thinking. A strong academic performer (top grades in MS and BS) who began his career in electrical and logic design, he brings a rare blend of signal-processing roots and cutting-edge ML research. Outside core research, he has experience organizing competitive Go events, hinting at strategic thinking and mentorship skills.
7 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at EPFL (École polytechnique fédérale de Lausanne)
Master of Science - MS, Electrical and Electronics Engineering, 3.93/4.00, Master of Science - MS, Electrical and Electronics Engineering, 3.93/4.00 at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Turkish, English, German