Product engineering across AI automation, backend systems, native software, and interactive products.
Python and TypeScript · deterministic checks + AI assistance · local-first where it matters
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My recurring workflow is simple:
messy input → deterministic checks + AI assistance → report, repair, transcript, export, or control loop
I own the path from product framing to tests, documentation, deployment, and the final artifact a person can inspect.
- KikuAI — exploring the next narrow product around a recurring problem, an accessible first user, and a result that can be checked before the system grows.
- Hutmates — contributing to a team-built cooperative game across Unity/C# gameplay, physics, multiplayer diagnostics, QA, and presentation.
- PATAS — audit-first pattern discovery and rule management for historical message and moderation exports.
- ReliAPI — retries, caching, circuit breakers, rate limits, and cost controls for HTTP and LLM workflows.
- ClipStash — native local-first macOS clipboard history utility in Swift.
- Untwine — deterministic diagnosis and safe repair for Articulate XLIFF import failures.
More work
- Masker — self-hostable PII redaction boundary for text, JSON, and OpenAI-compatible workflows.
- KikuAI GitHub Scanner — local-first evidence pipeline for repository, demand, and opportunity signals.
- WordPress ZIP Doctor — browser-local installability inspection and safe repackaging for WordPress packages.
- Long Video Transcriber — browser-local transcript and SRT/VTT export workflow.
- Issue Control Loop — deterministic GitHub Issue workflow for human-agent execution.
License note
No open-source license is granted for profile text or images unless a file says otherwise. See LICENSE.