Summary
Sami Naji is a data analyst and researcher with a PhD in Computer Science and over 10 years of hands-on experience applying computer vision, deep learning and NLP to biomedical imaging, object recognition and data engineering problems. He blends academic rigor—evident from postdoctoral research at VIB-UGent on cell migration—with industry practice from roles at Nokia, Unmatched and his own AIbioTex consultancy, delivering end-to-end solutions from data wrangling and feature engineering to model deployment and dashboards. Proficient in Python, TensorFlow, R and Linux, he has built pipelines for image segmentation, tracking and content-based retrieval as well as text-and-image multimodal workflows. Comfortable moving between research and product, Sami often surfaces actionable insights from noisy experimental and operational data, turning complex image-processing tasks into interpretable, decision-ready results. Notably, his work bridges microscopy-scale biomedical analysis and scalable ML engineering, making him effective in both labs and production environments.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Università degli Studi di Verona
Master's degree Computer Science, Master's degree Computer Science at Dongseo University
Bachelor's degree Information Technology, Bachelor's degree Information Technology at Multimedia University
English, Arabic, Italian, Korean, Malay, Dutch