Summary
Shigekazu Takei is a seasoned software engineer based in Tokyo with 13 years building scalable backend and full-stack systems, often using functional languages like Scala, Haskell and Erlang alongside JavaScript/TypeScript and Python. He has led web backend teams and shipped production ad-tech and data-science platform features at companies including SmartNews and dotData, and now contributes at 株式会社 Facilo. With a PhD-level background in experimental psychology and research experience at NTT, he brings a rigorous, human-centered approach to system design and a particular interest in concise, maintainable architectures. Comfortable from DBs to frontend frameworks (React/Next.js), he blends research instincts with pragmatic engineering to simplify complex problems. Notably, his career marries academic insight into perception and decision-making with hands-on delivery of high-throughput systems.
13 years of coding experience
12 years of employment as a software developer
Nada HighSchool
Bachelor of Arts (B.A.), Experimental Psychology, Doctoral Course, Bachelor of Arts (B.A.), Experimental Psychology, Doctoral Course at 東京大学 / The University of Tokyo
Doctor of Philosophy (PhD), Experimental Psychology, Doctor of Philosophy (PhD), Experimental Psychology at 東京工業大学 / Tokyo Institute of Technology
Master of Technology - MTech, Information System Engineering, Master of Technology - MTech, Information System Engineering at Advanced Institute of Industrial Technology
English, Japanese