Yoshikatsu Nakajima is a research engineer at Sony with 17 years of technical experience and a strong academic foundation from Keio University (Ph.D.) plus research stints at Carnegie Mellon and TUM. He specializes in robot vision, 3D/RGB-D perception, SLAM and machine learning, with proven hands-on skills in C++, Python, OpenCV, TensorFlow, PyTorch and CUDA. His work as first author includes publications at ICCV and IROS and multiple journal papers, and he has been recognized with awards like the IEEE RAS Japan Young Award and a best paper prize in Computational Visual Media. Comfortable operating between cutting-edge research and product-oriented R&D, he brings both deep theoretical knowledge and practical implementation experience in vision and augmented reality systems. Notably, his career blends international collaboration and industry research, reflecting an ability to translate academic innovations into scalable engineering at a major technology company.
17 years of coding experience
3 years of employment as a software developer
Ph.D. in Engineering, Information and Computer Science, Ph.D. in Engineering, Information and Computer Science at Keio University
Digamma is a lightweight Scheme dialect designed for AI workflow automation. It focuses on execution efficiency and Lisp-based extensibility rather than strict RnRS compliance.
Contributions:1 release, 546 commits, 2 PRs in 5 years 10 months
Ypsilon is a complete R7RS/R6RS Scheme implementation in Scheme and C++. It provides full standards compliance alongside modern features including LLVM-based JIT compilation, a concurrent GC, and more.
Contributions:8 releases, 182 commits, 4 PRs in 10 years 7 months
cppjitllvmr6rsr7rs
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