Fine-tuned a 0.6B parameter LLM to restore flattened heading hierarchies in markdown extracted from PDFs. 80.6% per-heading accuracy, runs on CPU, published as a PyPI package and HuggingFace model.
Sends a swarm of Claude Code agents to analyze any codebase from every angle — architecture, git history, patterns, tooling, security — then synthesizes a production-grade configuration with CLAUDE.md files, skills, hooks, subagents, and MCP servers.
Built an MCP server that turns any AI assistant into a presentation tool. Ask it to create slides, pick a theme, and get a shareable link that works in any browser. 24 themes, iterative editing, 30-day hosted URLs.
Built an MCP server that gives AI assistants direct access to live Vue ecosystem documentation. Hybrid retrieval over 8 frameworks, structure-aware chunking, deterministic query pipeline, free hosted at mcp.vue-mcp.org.
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