About
I’m a Software Engineer at RICOH, drawn to AI by what it can unlock for people. My work in AI enablement is about expanding the possibilities of what people can do while building trust with this new and disruptive technology. My mission is to enable problem-solving for all of humanity by removing barriers to knowledge.
GitHub contributions
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Selected work
- 01
AI enablement
@
at RICOH
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 an accessibility tester MCP, all grounded with scoped development issues in the team.
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) An open-weight model that chooses whether an AI-generated video should be four or six seconds long. It reached 79.31% precision on accepted six-second decisions and defaults safely to four seconds when uncertain.
- Go
- Python
- Local inference
- Model provenance
- GitHub Actions
- 03
Onigami
@
at Whales and Games
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