Summary
Ahmed Hassan is a Lead Machine Learning Engineer based in Berlin with 11 years of experience bridging academic research and production ML systems, holding a PhD in Computational Network Medicine. He has shipped MLOps-driven ML products at scale—from real-time microservices and automated pricing at CarNext to NLP and deep learning pipelines—and currently leads ML efforts at i2x while maintaining research ties at Maastricht University. His work uniquely blends biomedical network science (drug repurposing, multi-layer data integration) with hands-on engineering practices for reliable model lifecycle management. Comfortable across data engineering, production ML, and research, he is especially focused on ML for healthcare and education and seeks senior roles in Berlin or remote Europe. An uncommon strength is his ability to translate mechanistic, multi-omics research insights into production-ready models and infrastructure.
11 years of coding experience
8 years of employment as a software developer
BSc., Electrical, Electronics and Communications Engineering, Good, BSc., Electrical, Electronics and Communications Engineering, Good at Alexandria University
Master of Science (M.Sc.), Machine Learning and Data Mining, CGPA: 3.78/4.0, Master of Science (M.Sc.), Machine Learning and Data Mining, CGPA: 3.78/4.0 at Université Jean Monnet Saint-Etienne
Doctor of Philosophy - PhD, Computational Network Medicine, Doctor of Philosophy - PhD, Computational Network Medicine at Maastricht University
Postgraduate Courses, Computer Communications and Electronics, Postgraduate Courses, Computer Communications and Electronics at Cairo University
Arabic, English, French, German, Dutch