System Architecture,
Operational Scale,
AI Decision Science.
14+ years leading multi-team engineering delivery for production AI and backend systems — owning roadmap execution, architecture quality, and operational reliability.
With a research background in computer vision and deep learning, my current focus is shifting toward AI decision systems: forecasting, uncertainty modeling, and decision optimization for sustainability and operations.
Currently AI Engineering Manager at AstronLab. Ex-Zeals (Tokyo).
Applied AI & Academic Research
My work sits at the intersection of high-concurrency software engineering and applied AI. Building on past research in deep learning and computer vision, I am studying how AI Decision Systems can support sustainability and operations work through forecasting, uncertainty modeling, and decision optimization (RL/OR).
I am aiming for reproducible decision-support pipelines where the inputs, model behavior, and operational metrics can be audited end to end.