Summary
Mohamed Affes is a Data Science & AI Engineer with 14 years of experience blending formal mathematics and practical ML/AI engineering, currently focused on statistics-driven solutions at Mindrift. He has hands-on expertise in computer vision, deploying YOLOv5/DeepSort pipelines and face detection in C++/Python, and has implemented LLMs with PyTorch and real-time web scraping systems. An ISTQB-certified tester specialized in Generative AI testing (CT-GenAI), he bridges model development and robust validation—an asset in safety-critical domains like automotive ECU testing. Mohamed has built end-to-end products from data collection and BERT embeddings to XGBoost prediction and Flask deployment for freelance-matching systems, showing both research rigor and production pragmatism. Based in Sfax, Tunisia, he pairs an engineering degree in data science with a habit of turning academic formalism into practical, deployable AI features.
14 years of coding experience
2 years of employment as a software developer
Diplôme d'ingénieur en science de données, Diplôme d'ingénieur en science de données at École Nationale d'Electronique et des Télécommunications de Sfax (ENET'Com)