Mohamed Zahran
Machine Learning Scientist Engineer at Apple
United States
Summary
👤
Senior🎓
Top SchoolMohamed Zahran is a Machine Learning Scientist/Engineer with a decade of experience building production-grade ML and search-ranking systems across industry and academia. He has advanced from academic research and teaching at Purdue and Cairo University to applied roles at Salesforce—where he developed group-wise and recurrent neural ranking models—and now to Apple, focusing on scalable ML solutions. His background blends deep learning, sequence modeling, and information retrieval with strong software engineering skills in C++ and scalable system design. Notably, his internship research exposed biases in one-hot click modeling and proposed frameworks for group-wise rankers, demonstrating a practical knack for turning research insights into deployable improvements.
10 years of coding experience
9 years of employment as a software developer
Graduate Student, Computer Science, Graduate Student, Computer Science at Purdue UniversityMasters of Science, Computer Engineering, Masters of Science, Computer Engineering at Cairo University
English, Arabic
Github Skills (8)
information-retrieval10
retrieval10
scala9
python9
machine-learning9
outliers6
sequence6
django5
Programming languages (2)
Github contributions (5)
mohazahran/Detecting-anomalies-in-user-trajectories
Sep 2016 - Feb 2017
Contributions:93 commits, 2 PRs, 92 pushes in 4 months
sequencepythondjangodetectpatterns
mohazahran/framework_for_detecting_outlier_in_trajectories
Feb 2017 - Oct 2017
Contributions:101 commits, 114 pushes, 1 branch in 8 months
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