Ghassen Chaabouni is a Senior Machine Learning Engineer based in Amsterdam with six years of experience building end-to-end ML systems focused on computer vision, NLP, and generative AI. He has advanced from early computer vision projects—like GAN-based tooth generation and an employee recognition surveillance platform—to senior ML roles at Sensity where he leads model development and deployment. Ghassen is proficient across the ML lifecycle, from research-grade experiments (WGAN-GP, infoGAN, GCN) to production tooling and cloud integrations. He pairs strong engineering chops in Python, PyTorch, TensorFlow and OpenCV with practical data engineering and MLOps experience gained across startups and consulting engagements. Notably, his background blends academic rigor in ICT engineering with hands-on work scraping and structuring social data for downstream ML, giving him an edge in applied data collection and labeling strategies. He’s passionate about pushing AI’s boundaries into impactful products while keeping models robust and deployable.
6 years of coding experience
5 years of employment as a software developer
Engineering Degree Information and Communications Technology, Engineering Degree Information and Communications Technology at SUP'COM
Bachelor's degree Mathematics, Bachelor's degree Mathematics at Mahmoud Magdiche High School
Scientific Preparatory Physics Chemistry, Scientific Preparatory Physics Chemistry at IPEIS - Institut Préparatoire aux Études d'Ingénieur de Sfax
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