Summary
Semih Atakan is a Principal Applied Scientist with eight years of experience applying operations research, stochastic programming, and large-scale optimization to operational and strategic network problems. He has led small teams at Amazon to build research software that informs billion-dollar network decisions and now continues this work at Microsoft. His PhD-trained approach blends mathematical rigor with pragmatic engineering—designing versatile, maintainable models and decomposition algorithms that scale to problems with hundreds of millions of variables and constraints. Semih’s work spans inventory management, transportation scheduling, and simulation, and he has a track record of turning advanced decomposition and stochastic methods into production-ready tools. Colleagues describe him as a scientist who deliberately optimizes for maintainability and impact, enabling small teams to support massive operational value. Based in Seattle, he combines academic depth from USC with hands-on industry delivery across Amazon’s fulfillment and network organizations.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.) Industrial and Systems Engineering, Doctor of Philosophy (Ph.D.) Industrial and Systems Engineering at University of Southern California
Master of Science (M.Sc.) Industrial Engineering, Master of Science (M.Sc.) Industrial Engineering at Sabanci University
International Baccalaureate
TED Ankara Koleji
Turkish, English, German