Bridging ML research and production systems
ML research engineer with a PhD in computer vision. I build models and make them work in production — which mostly means building the data pipelines and infrastructure that everyone assumes will magically exist.
I work across computer vision, embeddings, LLMs — and I own the whole thing: from the model to the pipeline to the infra. Research background means I validate before shipping — but happiest when things are running in prod.
What I Work On
From PhD research to production systems — the stuff I actually spend my time on.
Publications
Peer-reviewed research from my PhD in medical computer vision.
Expert Systems with Applications
Deep learning approach for automated age estimation from panoramic dental X-rays. Median error of 2.95 years for adults — outperforming established manual methods, fully automated, and non-destructive.
IEEE Access
Forensic dental analysis using 86,495 annotated teeth — one of the largest datasets in the literature. Automated models match or beat manual forensic methods for age, sex, and tooth identification.