Summary
Ahmed Raafat is an Unstructured Data Scientist with eight years of hands-on experience building and productionizing machine learning solutions across speech, OCR, medical imaging, and computer vision. Currently at BeyondAI, he combines research-grade model development with practical engineering—creating low-latency face landmark pipelines, automated object-detection training UIs, and CI/CD for classification systems. He co-founded a machine learning education institute and has taught and authored technical content, demonstrating an ability to translate complex deep learning concepts into accessible curricula and tools. His background in electronics and communications engineering, plus early roles in testing, telecom, and IT, give him a systems-minded approach to deploying reliable ML in constrained environments. Notably, he has applied multi-task learning to chest X-ray analysis and built production-focused OCRs for Arabic manuscripts, reflecting both domain breadth and attention to real-world impact.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electronics and Communications Engineering at Cairo University
Arabic, English, French, Russian