Summary
Kazuki Motohashi is an AI/ML GTM Specialist and Solutions Architect based in Tokyo with nine years of experience bridging cutting-edge research and production AI. He holds a PhD in fundamental physics from Tokyo Institute of Technology and began his career analyzing LHC data at CERN before pivoting to autonomous robotics, deep learning, and ROS development at SoftBank. Kazuki has since moved through senior engineering and partner-facing roles at Skymind/Konduit, DEEPCORE, and AWS Japan, combining hands-on model engineering with go-to-market and partner enablement. He has contributed to Japanese editions of major AI books and holds multiple deep learning certifications, reflecting both technical depth and a commitment to knowledge transfer. An uncommon strength is his ability to translate academic-scale experimental rigor into scalable ML solutions for industry partners.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Physics, Master's degree, Physics at 東京工業大学
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at 東京工業大学大学院
English, Japanese