Engineer focused on local LLM systems, agent reliability, and real-world integrations. Public work here centers on deterministic behavior, failure-mode reduction, and making agent/tool workflows observable and recoverable.
- Agent execution reliability and stop/cancel paths
- Tool and extension integration
- Google Workspace, Telegram, and MCP workflows
- Local LLM serving, routing, and fallback paths
- Deterministic behavior in web and runtime flows
- #2420 — fix(status): report active WASM channels accurately — makes
ironclaw statusshow enabled WASM channel names instead of only a coarse count. - #2122 — fix(web): add stop control for active chat turns — adds an explicit stop/hard-cancel path for live turns.
- #2083 — fix(web): emit Done after response — corrects SSE ordering so UI completion state matches server completion.
- #2081 — fix(llm): use loopback Ollama default URL — hardens local Ollama access by preferring loopback instead of localhost binding ambiguity.
- #1532 — fix(auth): make shared Google tool status scope-aware — improves Google tool auth/status reporting across scopes.
- #1569 — feat: add GWS MCP bridge extension — adds a Google Workspace fallback integration via MCP.
- #1536 — fix(telegram): auto-generate webhook secret during setup — reduces Telegram setup failure modes.
- #1171 — fix(channels): use live owner binding during wasm hot activation — keeps WASM channel activation aligned with live owner binding state.
- #2419 — fix(status): report active WASM channels accurately — tracking the status-reporting gap surfaced by live WASM channels.
- #2121 — feat(web): visible Stop control and hard cancel for active chat turns — the issue behind the stop-control work.
- #2082 — RFC: trace-driven self-improvement loop for IronClaw — broader work on trace-driven learning and reliability.
- Evidence-first debugging
- Prefer deterministic behavior over hidden magic
- Use fallback paths only when they are explicit and auditable
- Keep fixes narrow enough to merge safely
- Optimize for runtime resilience and user-visible clarity
- Agent turn control and cancellation
- Local model routing and fallback strategies
- Google Workspace, Telegram, and MCP integrations
- WASM channel and MCP reliability
- Trace-driven evaluation and self-improvement