
Yusuf Dahir
@yusufdahir
AI automation specialist building n8n lead-handling systems with LLM agents, Pinecone RAG, and safety checks.
What I'm looking for
Since June 2024, I’ve designed, built, and tested AI workflow systems as an independent AI Automation Builder. My n8n lead-handling system connects an LLM agent and Pinecone RAG with lead confirmation, Supabase logging, and advisor email briefs.
I added deterministic safeguards around the model, including a database-backed confirmation gate, code-based routing, retries, and failure alerts. I also wrote and iterated a guardrailed prompt that answers only from approved documents and uses a human handoff rather than guessing.
I found and fixed defects including retrieval failures, leads sent without confirmation, misrouting, and false returning-visitor matches, then re-tested each fix. I set up Supabase/Postgres storage with row-level security and role-based access, plus a database-fed dashboard.
I tested the demo across English, Arabic, and French, and adapted the architecture for property and legal-intake demos. I’m self-taught, work with no-code and low-code tools, and use AI assistance for custom logic.
Experience
Work history, roles, and key accomplishments
Independent AI Automation Builder
Self Employed
Jun 2024 - Present (2 years 5 months)
Designed, built, and tested multi-workflow AI lead-handling systems in n8n, including LLM agents with RAG, deterministic safety layers, and database-backed lead logging. Documented builds and re-skinned the architecture for additional demo verticals.
Education
Degrees, certifications, and relevant coursework
Yusuf hasn't added their education
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Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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