AI engineer working at the seam between research and production — designing data pipelines, training models, and shipping the infrastructure that keeps them reliable.
AI engineer and MSc Artificial Intelligence graduate, working at the intersection of data, modeling, and infrastructure — the work that turns research into something a team can actually rely on.
My focus spans the full lifecycle: analyzing the data, training and evaluating models with Python, PyTorch and Scikit‑learn, then wrapping them in pipelines and monitoring so they hold up in production.
I care about systems that stay honest after launch — reproducible training, observable serving, and metrics people trust enough to make decisions on.
The toolkit I reach for across the model lifecycle — from first analysis to production monitoring.
A few systems I've designed, shipped, and kept running in production.
Have a project in mind, or a problem you're trying to make tractable? I'd be glad to hear about it.
Reach out and I'll get back to you within a couple of working days. Short messages welcome — we can take it from there.
Currently open to freelance projects and full-time roles. Comfortable working remotely or on-site across the EU.