Seong Seo is a Ph.D. candidate in Computer Science and Engineering at Seoul National University’s ARC Lab, specializing in computer architecture and systems for deep learning with eight years of engineering experience. His research centers on efficient on-device LLM inference, spanning heterogeneous computing, processing-in-memory, and quantization, and he is currently interning at Qualcomm working on AI model efficiency. Comfortable at the intersection of hardware and software, he designs practical techniques that reduce latency and energy for real-world edge deployments. With dual undergraduate degrees in CS and Economics and language study in English and Spanish, he brings a multidisciplinary perspective to system optimization and deployment challenges.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at Seoul National University
English & Spanish, English & Spanish at Daewon Foreign Language High School
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