AIoT and embedded systems engineer in Japan, working across sensing, software, simulation, and applied AI.
Current work: embedded systems, AIoT, simulation, and technical product development
Base: sensing, hardware-aware software, industrial AI, and full-stack prototyping
Interests: edge AI, perception-adjacent systems, and deployable ML
- Edge AI and deployable ML
- Embedded systems, sensing, and hardware-aware ML
- Simulation and product prototyping for high-constraint environments
| Area | Current Position |
|---|---|
| Current work | Embedded systems, industrial sensing, AIoT, applied AI |
| Strong base | Hardware-aware software, prototyping, end-to-end system building |
| Working style | Constraint-driven, practical, system-level thinking |
| Interested in | Edge AI, simulation-heavy development, perception-adjacent systems |
- 3 years of industry experience in Japanese manufacturing across industrial IoT, sensing, and applied AI
- B.Eng. candidate in Electrical, Electronics and Information Engineering at Nagaoka University of Technology
- Recent exposure to automotive E/E architecture and ADAS-adjacent hardware platform work
- Rouvis: vertical AI product work with planning, analytics, maps, and conversational guidance
- Rouvis: vertical AI product work with planning, analytics, maps, and conversational guidance. Featured by ETSUZAN, a Niigata Mitou-style talent development project
- Ceramic Fracture Lab: simulation-heavy engineering workflow with Python, Godot, and FEM concepts
- Firebase ESP32 CT Monitor: embedded sensing and remote data collection prototype
- Interactive Torque Project: industrial data-analysis workflow for torque measurement visualization and pass/fail evaluation
- Built a Boat: systems-heavy multiplayer prototype with authoritative runtime logic
I enjoy working where hardware constraints, real-time behavior, and modern software systems meet. Long term, I want to keep building practical systems that connect embedded engineering with applied AI.