Kuluhan Binici is an AI Scientist with a PhD in Computer Science from the National University of Singapore and eight years of experience translating research into deployable AI systems for resource-constrained environments. He specializes in knowledge distillation, continual learning, and computer vision, and is fluent in Python and C++, having implemented performance-critical components in C++ for production use. At SAP and during internships at ASUS and A*STAR he improved model robustness and efficiency—e.g., boosting optical flow performance and hardening medical dialogue summarization against ASR errors. He combines deep academic rigor with practical engineering, often building Python frameworks to make research usable by teams. Based in Singapore, he is driven by impactful AI innovations that bridge the gap between state-of-the-art research and real-world deployment.
8 years of coding experience
Bachelor's degree, Computer Engineering, 3.70, Bachelor's degree, Computer Engineering, 3.70 at National Taiwan University
Bachelor's degree, Computer Engineering, 3.75, Bachelor's degree, Computer Engineering, 3.75 at Bilkent University
High School Diploma, High School Diploma at Kadıköy Anadolu Lisesi ve Maarif Koleji
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at National University of Singapore
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