Ayaan is a Master of Science student in electrical engineering at Columbia University. His research interests include mobile computing, applied machine learning, edge AI, digital signal processing, mathematical modeling, and information systems. He completed his undergraduate studies at Rutgers University–New Brunswick, earning a Bachelor of Science in electrical and computer engineering with a minor in mathematics. His technical background spans embedded systems, wireless communication, and hardware security, with certifications in AWS AI and cloud technologies. He has published research across cybersecurity, FPGA systems, and machine learning, including a project on FPGA fast Fourier transform implementation and a machine learning-based stock forecasting model. His work has been recognized at academic conferences such as the IEEE Integrated STEM Education Conference and the Rutgers JJ Slade Research Symposium. He is currently a technical research intern at the Intelligent and Connected Systems Laboratory at Columbia University. He was a program mentor for the Governor's School of New Jersey designing search-and-rescue drone systems utilizing real-time edge inference. He is passionate about building scalable, open-source security tools and bridging the gap between theory and real-world deployment.