Become a sponsor to Hugo Ferro
Hi, I'm Hugo. I build hands on, open source tutorials that teach real engineering
trade offs in AI development, things like hybrid RAG systems, local LLM routing
with Ollama, and agentic workflows.
My projects are fully documented on GitHub and explained through YouTube (AllTech)
and LinkedIn, with a focus on honesty over hype: I show what works, what fails,
and why.
Recent project: legal-doc-rag-summarizer-v2-hybrid, a tutorial on pairing a free
local model with Claude for cost efficient legal document analysis.
If you find this useful, sponsoring helps me keep building and teaching this kind
of work full time.
It would mean a lot to reach 10 sponsors. Right now I build these tutorials for free, on my own time. I keep wondering what it would look like to do this full time instead. Your support would be the first real step toward finding out.
Featured work
-
hasff/legal-doc-rag-summarizer
Step-by-step RAG tutorial for legal contract analysis — chunking, embeddings, BM25, hybrid search and Claude-based danger scoring, built from scratch without LangChain.
Python 4 -
hasff/python-pdf-sensitive-data-redactor
Automated PDF redaction pipeline using Python, AI (Gemini), and OCR. Permanently removes sensitive data (PII) from text, images, and metadata instead of just hiding it.
Python 2 -
hasff/mcp-release-notifier
Agentic pipeline: GitHub releases → AI-powered PDF release notes → Discord. Built with MCP, FastAPI, Claude API, and ReportLab.
Python 5 -
hasff/legal-doc-rag-summarizer-v2-hybrid
Hybrid RAG tutorial pairing a local LLM (Ollama) with Claude for legal document analysis
Python 4