Freelance AI Engineer

The insight is in your data.
I build the AI to surface it.

Custom RAG systems and agentic workflows grounded in your company's private knowledge — not the open web.

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Featured Project

RAG Retrieval Bench

Open-source RAG benchmark: 36 pipeline configs on one ArXiv corpus, RAGAS-scored. How chunking, embeddings, and retrieval stack up—and why the right setup depends on your documents, not a universal winner.
- Python
- RAGAS
- Groq
- OpenAI
- Hugging Face
April 2026 GitHub

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Recent Posts

Giving an LLM access to a million rows

The structured data architecture that actually works

19 Mar 2026 13 min read