I'm Dr. Emil Guliyev, a France-based senior AI engineer. My path started in business analytics, moved through an industry-linked doctorate with Enfocus, and became an independent AI engineering practice focused on production systems.
Each step added a different kind of judgment: business analytics, mature commercial data science, doctoral research, and production ownership.
University of Southampton MSc placement with Carnival UK's data science team — booking cancellation prediction on the Queen Mary 2 (YODA system). The only time I've worked inside a mature, large-scale data team. It set the bar for what production-grade data work looks like.
B2B churn modeling through IÉSEG / Université de Lille / EDSESAM, with Enfocus as industry collaborator.
Independent production AI practice across GenAI, RAG, computer vision, analytics, data engineering, and cloud systems.
Master's-level teaching at ISG Lille and AI architecture leadership for Tethys Naval's maritime intelligence SaaS.
Multi-year embedding · Software B2B
Multi-year embedding — churn prediction, commercial analytics pipeline, AI assistant platform Botus, and agentic automation. Finance, Product, and Marketing all depend on systems I built. Started during my PhD. Still running.
System architect + AI lead · Maritime SaaS
Designed the AI architecture for TethysBeacon — maritime SaaS with AI-powered port risk assessment across 5 dimensions. Retained AI ownership through production.
Computer vision · Drone technology
Computer vision for drone operations — object detection, semantic segmentation for a 443km pipeline corridor, and change detection under real field constraints.
I work with a small, selective client roster. I don't take on more — not because I can't, but because the quality of attention I give each client is the product. If you're looking for a vendor to hand a spec to, I'm not the right fit. If you need someone who will think with you, build with you, and still be there two years later — let's talk.
If you have a real AI problem and need someone who will still be there a year from now — that's what I do.
