I’m a Software Engineer at Ricoh focused on AI enablement: repo-level RAG, review workflows, code-agent prototypes and accessibility tooling that give AI-assisted work better guidance, clearer checks and less room to drift.
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Selected work
- 01
AI enablement at RICOH Spaces
Repo context, review workflows, code agents and accessibility
Visit RICOH Spaces (opens in a new tab) Built repo-level RAG across six native repositories, a context-aware PR review bot, a Linear code-agent prototype and a Ricoh-owned accessibility tester MCP, grounded in production platform delivery.
Internal engineering work · Public links show the live product context.
- RAG
- MCP
- Vector memory
- Codex
- Playwright
- 02
SteadyPicker
Local inference, deterministic policy and model provenance
View v0.2.0 release (opens in a new tab) Released an offline Go CLI and library combining deterministic policy with a small embedded model to choose quota-aware video settings, estimate cost and validate cryptographic provenance.
- Go
- Python
- Local inference
- Model provenance
- GitHub Actions
- 03
Onigami
Early AI behaviour and A* pathfinding foundations
Play on itch.io (opens in a new tab) Published Unity turn-based strategy prototype where I contributed enemy behaviour, A* pathfinding, music and gameplay systems across Windows, macOS and Linux builds.
- Unity
- C#
- AI behaviour
- A* pathfinding
- Game systems