Full-stack AI engineer building document intelligence systems — multimodal retrieval, RAG, and pragmatic agents.
- 🔎 OSS: NanoSage — local deep-research agent for recursive search & report generation → https://github.com/masterFoad/NanoSage
- 🧠 I like embeddings, layout/ocr pipelines, and making evaluations/dev-ex not suck.
- 🧰 Python • PyTorch • LangGraph/agents • Retrieval/Indexing • React/TypeScript • CI/CD
GitHub • LinkedIn • PyPI: tfrq • HF: Granite Vision 3.3 (2B) Embedding
- Multimodal document understanding & vision embeddings
- RAG quality/latency (multi-vector, re-ranking, evals)
- Agentic workflows that actually ship (not just vibes)
- NanoSage — laptop-friendly research agent (RAG) with recursive exploration https://github.com/masterFoad/NanoSage
Want to collaborate or try something weird with RAG/agents? DM me on LinkedIn or open an issue on NanoSage.