Summary
Sami Barchid is a Data Scientist and computer vision researcher with eight years of experience bridging bio-inspired AI, neuromorphic vision, and full‑stack engineering to deliver practical, energy-efficient solutions. He completed a PhD-focused research trajectory at the University of Lille on neuromorphic scene understanding and has applied that expertise in industry roles from fall-detection AI at mintt to his current position at Proximus Ada. Comfortable across the stack, Sami blends hands-on systems and interface work with academic rigor, having led teams and supervised collaborations in agile, feature-oriented environments. He publishes tutorials and reviews to demystify research for broader audiences, reflecting a passion for knowledge sharing beyond papers and prototypes. An uncommon strength is his focus on greener alternatives to conventional deep learning, aiming to translate brain-inspired principles into production-ready, resource-conscious AI.
7 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at University of Lille 1 Sciences and Technology
Bachelier en informatique, Bachelier en informatique at Haute Ecole 'Léonard de Vinci', Bruxelles