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, exploring how forecasting, uncertainty modeling, and decision optimization can solve sustainability and operational challenges.
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 exploring how AI Decision Systems can optimize sustainability and operations. This involves leveraging forecasting, uncertainty modeling, and decision optimization (RL/OR) to solve complex, resource-constrained problems.
Leveraging a decade of industry expertise leading data-intensive architectures, my goal is to build reproducible decision-support pipelines that deliver measurable operational and sustainability outcomes.