Summary
Rahul Rameshbabu is an AI Research Scientist with a PhD in Aerospace Engineering and 11 years of hands-on experience building physics-informed ML and digital twin solutions for aerospace, defense, and industrial systems. He specializes in real-time fault diagnosis and online anomaly detection, translating sensor-rich simulations and vibration time-frequency representations into deployable monitoring pipelines. His background spans embedded systems and flight hardware prototyping for NASA, anomaly detection work at Boeing, and scalable research-to-production efforts now applied at UPS. Rahul pairs probabilistic inference and control expertise with practical software and kernel-space curiosity, reflecting his interest in low-level programming and language theory. Known for cross-functional leadership, he consistently bridges rigorous research with client-focused deployment across simulation, perception, and control domains.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Aerospace Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD Aerospace Aeronautical and Astronautical Engineering at Georgia Institute of Technology
Bachelor's degree Aerospace Aeronautical and Astronautical Engineering, Bachelor's degree Aerospace Aeronautical and Astronautical Engineering at The University of Alabama in Huntsville