Summary
Seonghun Choe is a CTO with eight years of engineering leadership, currently building deep learning–enhanced machine vision inspection systems at TOMOMI RESEARCH in Fujisawa, Japan. His background blends hands-on research and productization—from CNN-based visual inspection and RNN failure-mode clustering to FPGA/GNU Radio OFDM systems and sensor-driven IoT analytics. Prior roles at HGST and Hitachi saw him bridge physics-heavy R&D (MEMS, hermetic HDD modeling, laser welding) with practical signal and circuit design, enabling measurable manufacturing yield and sensing innovations. At ABeam he led LiDAR-based elevator traffic analysis and factory prognostics on AWS, reducing client wait times and optimizing food production quality through ML. He pairs a PhD in Nano Mechanics with field experience in avionics reliability, giving him a rare mix of deep academic rigor and operational systems thinking. Known for an “engineering first” mindset, he often translates complex physical models into deployable ML pipelines and hardware-aware solutions.
8 years of coding experience
11 years of employment as a software developer
BA, Mechanical Engineering, BA, Mechanical Engineering at Seoul National University
PhD, Nano Mechanics, PhD, Nano Mechanics at 東北大学
Japanese, English, Korean