Mohsen Moarefdoost
Principal Applied Scientist at Auger
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolMohsen Moarefdoost is a Principal Applied Scientist based in the Greater Seattle Area with ~9 years of hands-on experience applying operations research, optimization, and machine learning to supply chain and transportation problems. He has led science teams at Amazon building end-to-end pricing and reinforcement learning solutions for Middle Mile Marketplace and now focuses on ML and OR-driven supply chain optimization at Auger. Mohsen brings deep academic rigor (Ph.D. in Industrial Engineering) combined with practical delivery across large-scale production systems, mixed integer programming, and heuristic algorithms implemented in Python, Gurobi, and simulation tools. He has a track record of turning classical inventory, routing and network-design theory into deployable engines for Fortune-scale clients, and is known among peers as an algorithm enthusiast and Python guru who bridges research and product impact.
9 years of coding experience
14 years of employment as a software developer
Bachelor’s Degree Industrial Engineering, Bachelor’s Degree Industrial Engineering at Iran University of Science and TechnologyDoctor of Philosophy (Ph.D.) Industrial Engineering, Doctor of Philosophy (Ph.D.) Industrial Engineering at Lehigh UniversityMaster of Science (M.Sc.) Industrial Engineering, Master of Science (M.Sc.) Industrial Engineering at Sharif University of Technology
English, Persian
Github Skills (2)
uncertainty5
optimization4
Programming languages (1)
Github contributions (5)
mmohsenm/uncertainopt
Sep 2018 - Oct 2018
A Practical Guide to Optimization under Uncertainty
Contributions:55 commits, 8 PRs, 49 pushes in 1 month
optimizationuncertaintypractical
opex-analytics/HTMLblogPosts
Sep 2016 - Oct 2017
Contributions:34 pushes, 1 branch in 1 year 1 month
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