AI & Automation Engineer. I build LLM solutions, algorithmic trading systems and telecom tools — and ship a new automation project to GitHub every single day.
I work on AI & prompt engineering at Ernst & Young (EY), leading end-to-end LLM solutions — from scoping with C-level stakeholders to production deployment — for enterprise clients across 7 countries in finance, retail and airport operations.
On the engineering side, I've designed and built 8+ algorithmic trading systems (MetaTrader 5 and crypto exchanges via ccxt) with event-driven architectures, risk-first design and full test suites — plus telecom tooling rooted in my Telecommunications Engineering degree.
I believe the best portfolio is a living one: every day, an automated pipeline I built designs, tests and publishes a brand-new tool to my GitHub.
Real systems, real code — every public repo ships with tests and a green CI pipeline.
Architecture showcase of 8+ private algorithmic trading systems: an event-driven MetaTrader 5 framework with 10 decoupled modules, ML research pipelines, dockerized microservice platforms and a live funding-rate carry system on crypto exchanges.
ML classifiers detecting spectrum occupancy from real antenna measurements. Engineering thesis.
Miniature telecom NOC: asyncio monitoring, auto-ticketing with load balancing and a local LLM chatbot.
Find & purge junk files with disk-space reporting. Safe dry-run by default, zero dependencies.
Single or batch QR generation from text, URLs or data files, with configurable colors.
RF antenna parameter calculator for link analysis — Telecommunications coursework.
An automated pipeline I engineered designs, tests and publishes one new automation tool every day — alternating Python and TypeScript, with pytest/vitest suites and green CI on every repo.
Depth in Python and LLMs; breadth across the delivery lifecycle.
Remote-ready from GMT-5. If you need someone who ships AI that actually works, let's talk.