I build practical open-source AI infrastructure around retrieval, search, local LLMs, and agent workflows.
Current OSS projects:
- TinySearch: lightweight web research for MCP agents
- TinyContext: token-light memory for local LLMs and agents
- Query Autocomplete: local typeahead/autocomplete for RAG and chat apps
I’m especially interested in local-first AI, smaller-model workflows, better retrieval, and reducing the amount of context we waste just to get useful answers.
Most of what I build is practical infrastructure: small tools that do one thing well, are easy to run, and can be used by other developers without a heavy platform around them.
Want to test, contribute, or suggest an idea?
Email me · Medium




