Fourth-year B.Eng. student in Electrical, Electronics and Information Engineering at Nagaoka University of Technology.
I work across sensing, software, simulation, and applied AI. My background combines electrical engineering, manufacturing AIoT, web applications, and prototype systems that connect real-world data with practical tools.
- B.Eng. research on reliability-aware KV-cache compression for long-context LLM inference under Prof. Akiko MANADA
- Embedded systems, sensing, and hardware-aware software
- Applied AI, data analysis, and practical automation
- Full-stack prototyping for technical products
- Simulation and interactive engineering tools
| Project | Description |
|---|---|
| Rouvis | Vertical AI product for planning, analytics, maps, and conversational guidance. Featured by ETSUZAN. |
| Interactive Torque Project | Industrial data-analysis workflow for torque measurement visualization and pass/fail evaluation. |
| Ceramic Fracture Lab | Simulation-heavy engineering workflow using Python, Godot, and FEM concepts. |
| Firebase ESP32 CT Monitor | Embedded sensing prototype for remote current monitoring and data collection. |
| Built a Boat | Multiplayer systems prototype with runtime logic, gameplay systems, and Godot experimentation. |
- B.Eng. candidate in Electrical, Electronics and Information Engineering at Nagaoka University of Technology
- Advisor: Prof. Akiko MANADA
- Experience in Japanese manufacturing across industrial IoT, sensing, and applied AI
- Internship experience in AI engineering and automotive hardware architecture
Python TypeScript C/C++ Godot ESP32 Firebase React Next.js Data Analysis Embedded Systems Applied AI