Summary
Mohtadi Fraj is a Co-Founder and machine learning-focused engineer with 10 years of experience building computer vision, NLP, and recommendation systems into production-ready products. He has blended hands-on research (light-field camera calibration, DARPA CwC) with industry delivery at companies like BurdaForward and Cliqz, and recently launched Caire to further productize ML models. His background spans classical CV (OpenCV, SIFT, Lucas-Kanade) to modern deep learning, plus practical recommender implementations using collaborative filtering and matrix factorization. Notably, he has applied NLP techniques such as TextRank and real-time Twitter sentiment tracking, showing a knack for turning research methods into real-time pipelines. Based in Bavaria, he pairs engineering depth with product sensibility and a preference for hard, interdisciplinary problems.
9 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Colorado State University
Engineer's degree General Engineering, Engineer's degree General Engineering at Tunisia Polytechnic School
Mathematics, Mathematics at Institut Préparatoire aux Etudes d'Ingénieurs de Tunis
English, French, Arabic, German