I build n8n pipelines, RAG agents, and ETL workflows — shipped, tested, and running in production. Not demos. Not prototypes.
Copy-paste between tools. Every. Single. Day.
Lead comes in → someone copies it to the CRM → someone else updates the sheet → someone sends the follow-up. Hours gone. Weekly.
2–3 hours drafting the same document, over and over.
Smart people stuck doing repetitive writing. Context pulled from multiple places, manually assembled, manually formatted. Every time.
Can't scale without hiring more people.
Every new client means more manual work. The only solution feels like headcount. But the actual problem is missing automation.
Onboarding that depends on whoever's available.
Different clients get different experiences. Nothing is consistent. Things fall through the cracks when the team is stretched.
Recognize one of these?
That's exactly where we start.
A client was manually drafting long-form expert documents — hours per document. Now an AI agent retrieves relevant context from a vector database, cross-references live structured data, and generates a first draft in minutes.
Finding elite technical talent used to mean days of manual research. A set of discovery pipelines now run in parallel, cross-referencing patent databases, academic records, and LinkedIn to surface and score qualified candidates automatically.
Technologies I Work With
Six types of systems.
All of them shipped and production-ready.
Webhook-triggered pipelines that pull data from BigQuery or Supabase, run it through an LLM, and produce structured documents — zero manual steps.
Multi-source enrichment pipelines that cross-reference patent DBs, academic records, and LinkedIn — then score and route leads automatically.
AI-powered onboarding agents, pairing bots, and digest engines for Telegram communities — Supabase-backed state, fully automated.
Data extraction, transformation, and loading between any stack — APIs, databases, spreadsheets. Clean, validated, structured output every run.
Vector-search pipelines using Pinecone or pgvector — retrieve the right context, combine with live data, generate accurate structured outputs.
End-to-end GoHighLevel automation — lead capture through retention and win-back, with AI-enhanced nurture sequences and behavior-based branching.
No retainers. No mystery quotes.
Fixed-price projects. Brief → call → proposal → build → handoff. You own everything.
Jam was hands-on with our AI-powered onboarding bots, prospecting pipelines, and intelligence dashboards. His work helped provide the data we needed to make better decisions and grow the business. He's reliable, communicates clearly, and genuinely enjoys the nuts and bolts of how automations work. I believe he has a very bright future ahead.
Most "automation experts" deliver Zapier templates and call it a pipeline. I came from mechanical engineering — where if something fails in production, you feel it immediately. I wanted automation that worked the same way.
Currently Technical PM at Immigram (UK), where I've built and shipped production automation systems processing 12K+ records at scale. Not a side project. Production systems used daily.
I don't build prototypes. I build systems your team can own after I hand off. Documented, tested, stable.
3 minutes. Tell me what's broken. I'll come to the call with a system map already built.
I'll come to the call reviewed and ready with a rough plan already mapped.