Summary
Mayar Hefny is an experienced data scientist with a decade of industry exposure and seven years focused on applied machine learning and reinforcement learning in telecoms. Currently at Ericsson’s Cognitive Software R&D hub, she designs RL-based optimization solutions, leads explainable AI efforts across products, and drives cross-team research collaborations. Her background spans end-to-end ML work — from forecasting and anomaly detection to production automation — and includes patents and an industrial MSc collaboration on explainability for hierarchical RL. A Georgia Tech MS graduate with a 4.0 GPA, she also cultivates quantum ML competence through Egypt’s QEgypt program, blending classical and emerging paradigms. Known for translating cutting-edge research into deployed software, she combines research rigor with practical product impact in large-scale network environments.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Georgia Institute of Technology
Bachelor's degree, Computer Engineering, Excellent with honors, Bachelor's degree, Computer Engineering, Excellent with honors at Cairo University
Royal International Language Schools
Arabic, English, German