EN : Water Pipe Leakage Risk Prediction System v0-3 | Industrial-grade GPR system achieving R²=0.9894 accuracy with 1,907x parallel processing efficiency | Complete scalability proven from N=44 to N=6000 datasets. JP : 水道管漏水リスク予測GPRシステム v0-3 | 産業レベル予測精度R²=0.9894、1,907倍並列処理効率化を実現したガウス過程回帰による高精度漏水リスク分析システム | N=44→N=6000完全スケーラビリティ実証済み

I've open-sourced Delegator v5.2.1: a state-based AI scheduler designed for large-scale public park maintenance planning in Japan. It converts playground inspection scores into actionable repair/update schedules under budget and workforce constraints — all in under 2 seconds across 1,300+ units. Scalable. Transparent. Real.

LLL-based Disaster Detector Agentic AI Application : This project enables the detection and interpretation of environmental threats (e.g., floods, infrastructure risks) by leveraging large language models (LLMs) and multimodal inputs derived from CCTV-based river surveillance feeds.

A prototype pipeline for generating structured job insights and clustering career trajectories, designed to support agentic AI-based **Proactive Job Goal Creation**.

Retrieval-Augmented Generation (RAG) systems with Agentic capabilities, featuring multi-strategy search, confidence evaluation, and autonomous process control.

Repair-Aware Survival Analysis: Multi-domain maintenance optimization with NASA CMAPSS & SECOM validation.