Mohamed Elsafty

Engaging in research at the Institute of Production Engineering and Systems (IPTS), I leverage advanced AI techniques and large language models (LLM) to address industry challenges under the supervision of Prof. Dr.-Ing. Arthur Seibel, driving innovative advancements in production engineering.

Collaborated on cutting-edge Arabic NLP research, contributing to 3 major projects focused on instruction tuning, Arabic LLM dataset development, and the creation of a data generation system. These efforts led to innovative AI solutions that significantly enhanced community efficiency and improved service quality.

Empowered over 500 Egyptian students (ages 12-17) through the DECI program in collaboration with the MCIT, teaching key topics such as basic programming with Python, data analysis, and soft and critical thinking skills. Delivered engaging, gamified activities and child-appropriate explanations while collaborating with Activity Designers and SLs to ensure objective alignment.

• Percent overall grade: 92.57 % • Developed Co-Reader.ai as a graduation project, utilizing AI-driven voice cloning and deep learning to create personalized book narration. The project was recognized in the second phase of the Dell Technologies Graduation Project Competition and secured funding from ITAC's Graduation Projects Support. Additionally, accepted into the ReachSci STEM Mini-PhD online training program at Cambridge University.