Hector Perez is an Operations Research Engineer with 11 years of experience specializing in digital supply chain optimization and digital twins that model material, financial, and information flows to improve enterprise performance and customer experience. He holds a PhD in Process Systems Engineering from Carnegie Mellon and has translated academic research into industry tools at RelationalAI, Dow, and through his own engineering consultancy. Hector builds simulation engines and web interfaces (Julia, Dash/Plotly) to validate order-to-cash and inventory dynamics with historical data, and has applied graph theory and MPC-style approaches to inventory allocation and process control. Equally comfortable in research and hands-on engineering, he has led cross-disciplinary teams delivering process simulation, optimization, and automation for both pilot and commercial settings. A less obvious strength is his blend of deep process engineering domain expertise with practical software delivery—enabling measurable business impact from digital twins to production systems.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Process Systems Engineering, Doctor of Philosophy - PhD Process Systems Engineering at Carnegie Mellon University
BS Chemical Engineering, BS Chemical Engineering at Brigham Young University
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