Summary
Sadjad Bazarnovi is a Software Engineer (Operations Research) with a Ph.D. in Transportation and eight years of experience building large-scale optimization and data-driven solutions for routing, scheduling, electrification, and infrastructure planning. He combines MILP/MINLP, decomposition methods (column generation), metaheuristics, and behavioral modeling with production-grade Python and Gurobi implementations to solve instances an order of magnitude larger than traditional approaches. His academic work delivered up to 30% system cost reductions for EV infrastructure and boosted crash-severity model AUC by 40%+ through advanced resampling and ensemble learning. He has experience designing large mobility surveys and applying SEM to uncover latent factors like range anxiety that inform model inputs and policies. Now based in Columbus, Ohio and currently at NetJets, he’s seeking industry OR or data-science roles where technical rigor meets real-world impact. A not-obvious strength: he routinely bridges methodological research and deployable software, turning academic algorithms into scalable operational tools.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Transportation and Highway Engineering, Doctor of Philosophy - PhD Transportation and Highway Engineering at University of Illinois Chicago
Bachelor of Science - BS Civil Engineering, Bachelor of Science - BS Civil Engineering at University of Tehran
Mathematics, Mathematics at Mofid High School
Master of Science - MS Transportation and Highway Engineering, Master of Science - MS Transportation and Highway Engineering at Sharif University of Technology
Persian, English, Esperanto