About
I came into AI from finance, not the other way around. After an MSc in Accounting & Finance at Anglia Ruskin, I kept noticing the same pattern: financial workflows that were obviously automatable, but nobody with domain knowledge was building the tools. So I taught myself to. I'm now building at the intersection — n8n automations, LLM agents, RAG over financial documents — and looking for a UK-sponsored role where that combination is actually useful.
2024
Finance MSc, Anglia Ruskin University
Where the domain knowledge comes from — how financial workflows actually work, not just in theory.
After
Self-taught AI & automation
Taught myself to build, because I kept seeing financial workflows that were obviously automatable but no one with the domain knowledge was building the tools.
Now
AI Automation Engineer (Intern)
Building n8n automations day to day, and working on finance-focused AI projects in my own time.
My edge is the combination: I understand how financial workflows actually work, and I can build the AI and automation that improves them. That pairing is rarer than either skill on its own.
I'm on a UK Graduate visa and targeting a UK Skilled Worker–sponsored AI / automation engineering role, where that finance-plus-AI background is genuinely useful rather than incidental.
Outside of that: I'm interested in how LLMs reason about structured financial data, and I'm slowly working through the things that make RAG fail in practice rather than in tutorials.