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.
9 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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Rajeev Voleti - Software Engineer, Control Systems at JuliaHub