Summary
Takao Mizuno is a pragmatic machine learning leader and VP of Machine Learning with 10+ years of hands-on experience building production AI and web products across NLP, image/audio processing, and search. He bridges inductive ML research (PyTorch, OCR, speech, multimodal) with deductive product engineering, shipping full-stack systems using Next.js, FastAPI, Docker, and AWS while favoring Vercel deployments and Figma-driven design. As CTO Office / Lead ML Engineer he currently focuses on vector similarity search, Elasticsearch, and MLOps for document search and recommendation at FRAIM, having previously led AI SaaS and retail analytics efforts. He blends lean/agile product management with a pragmatic hierarchy for choosing solutions—API, open source, paper, then custom research—and is an avid Vimmer who enjoys causal inference research in his spare time.
10 years of coding experience
6 years of employment as a software developer
Electric and Electrical Engineering, Electric and Electrical Engineering at Kobe University
English, Japanese