Summary
Vahid Nourbakhsh is a Data Scientist V with 8 years of experience applying machine learning, operations research, and statistics to real-world supply chain, logistics, and revenue management problems. He has led production deployments of prediction and optimization systems—from e-commerce fulfillment at Albertsons to robot routing at Dexterity and price optimization at FLYR—combining algorithm design with robust engineering and CI/CD practices. His academic background (PhD in Operations Research) and +500 citations for applied optimization work reflect deep technical rigor, while his hands-on experience spans GCP, serverless architectures, simulation, and linear/dynamic programming. Vahid blends research-grade methods with pragmatic product delivery, managing teams and cross-functional stakeholders to scale data-driven solutions that materially improve operational efficiency.
8 years of coding experience
9 years of employment as a software developer
Amirkabir University of Technology
University of California, Irvine