Summary
Hyungjun Kim is a PhD-trained engineer and founder with 8 years of experience focused on accelerating deep neural networks through hardware-software co-design. As CEO of SqueezeBits since 2022 and formerly a postdoc at I-Lab, he specializes in low-precision in-memory DNN accelerators, efficient accelerator architectures, and model compression. His background includes industry research stints at IBM and Holst Centre, blending academic rigor from POSTECH with practical prototyping. Based in South Korea, he combines deep technical knowledge with entrepreneurial drive to bring research-grade DNN acceleration concepts toward commercial hardware. An interesting detail: his work centers on squeezing computation into energy- and area-efficient substrates, aiming to make high-performance DNNs feasible on constrained devices.
7 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, EE/CS, Doctor of Philosophy - PhD, EE/CS at 포항공과대학교
Exchange student, Exchange student at Stony Brook University