Rajeev Voleti is a software engineer and Ph.D. in Aerospace Engineering specializing in multi-agent cooperative control and model predictive control, with nine years of experience applying these techniques to real-world simulation platforms. At JuliaHub he develops control systems for Dyad/JuliaSim, bringing scientific machine learning and high-performance Julia-based simulation together to accelerate predictive modeling. His research background spans optimal control, pursuit–evasion games, and distributed cooperative systems, enabling him to bridge rigorous theory with practical cloud-native implementation. Based in Dallas, he combines aerospace domain expertise with hands-on software engineering to make complex simulations more scalable and accessible, often focusing on making advanced control methods usable outside academia.
10 years of coding experience
High School, 10, High School, 10 at Navy Childrens' School
High School, 96.6%, High School, 96.6% at FIITJEE Junior College
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