Independent AI Researcher & Engineer - AI systems architecture, multi-agent orchestration, MCP infrastructure. Founder of Peak Summit Labs.
I build AI infrastructure and ship it as products. Research becomes tools. Tools become papers. Papers validate the tools. One flywheel.
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Multi-Agent Orchestration - Cross-machine agent coordination across multiple Macs via Cloudflare Durable Objects. 80+ skills, 38 hooks, terminal-spawned agents with backchannel messaging. Not a framework - a production system I use daily.
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MCP Infrastructure - 16+ MCP servers built. Authored BMCPS v3.0, an open standard for safe MCP tool interfaces (25 mandatory tools, 238 automated tests, MIT licensed). Built a meta-server that generates new MCP servers from the standard.
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Semantic Memory - Persistent memory system using PostgreSQL + pgvector. 10,000+ observations, cross-device sync, semantic search across sessions. Research paper with 98.3% precision on LongMemEvalS benchmark.
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Open Source - Contributor to Rectangle (25K+ stars). Added 8ths/9ths/12ths/16ths window divisions and position cycling system. Merged PR #1720.
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Shipped Products - Three products through Peak Summit Labs. Local-first, one-time pricing, no telemetry. I build what teams quote 9 months for - solo, using the AI infrastructure I built.
| Project | What It Does |
|---|---|
| reminisce | Cognitive science-inspired memory architecture for AI agents - working/episodic/semantic tiers with salience scoring. Paper | Benchmark Data |
| longterm-memory-macos | Semantic memory for Claude - PostgreSQL + pgvector with browser extension and dashboard |
| evm-chains-mcp-server | 111 tools across 7 networks - MCP at scale for complex multi-system orchestration |
| ccxt-mcp-server | Unified MCP interface to 106+ financial data APIs with real-time arbitrage detection |
| academic-lectures | Lecture materials from teaching at Ivy League institutions and Oxford |
Guest lectures at Harvard (x2), MIT Sloan, Princeton, Cornell Tech, NYU, and Oxford. Keynote at Web3 Summit Amsterdam. Eight talks in six months on AI systems, agent orchestration, and MCP infrastructure.
Full lecture portfolio: academic-lectures
Papers (preprints on Hugging Face, submitted to arXiv):
- PrimeAgentOrchestrator: Memory-Primed Agent Spawning for Personal AI Infrastructure (2026) - Spawns coding agents pre-loaded with memories from PostgreSQL + semantic search. 15-task precision study, four months of production deployment.
- Reminisce v2: Production Postmortem of an Episodic Memory System (2026) - 70+ findings across 6 LLM models over four months of production debugging. All issues resolved.
- Reminisce: A Cognitive Science-Inspired Memory Architecture for AI Agents (2026) - Three-tier cognitive memory with salience scoring. 98.3% precision on LongMemEvalS benchmark.
- DeadGraph: A Rights-Aware MCP Knowledge Base for Cultural Heritage Audio Collections (2026) - 13 MCP tools, 200-question benchmark, +60.1 point accuracy gain over raw LLM.
| Product | What It Is |
|---|---|
| Push to Transcribe | Voice-to-text for macOS and Windows. Hold a key, speak, release - text appears. Whisper-powered, fully local. One-time purchase. |
| markdossier | WYSIWYG markdown editor for macOS and Windows. Renders Claude Code and Codex sessions as conversations. Hot-reload, Quick Look, annotations. One-time purchase. |
| DeadGraph | AI research assistant for the Grateful Dead's live history. 2,336 shows, 13 MCP tools, rights-aware pipeline. |
45+ posts at operationalsemantics.dev documenting the full journey from MCP experiments to published standard and multi-agent systems. Includes an 8-part series on the Ivy League lecture tour.
Languages: TypeScript, Python, Swift, Rust AI: Claude, MCP, Ollama, LM Studio Infrastructure: Cloudflare (Workers, D1, R2, Pages), PostgreSQL, pgvector, bun
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