I'm Raju Molla, a software engineer and cybersecurity researcher currently reading for an MSc in Cybersecurity and Digital Forensics at the University of Wales Trinity Saint David in London. My dissertation builds a hybrid intrusion detection system for IoT and cloud environments — combining Random Forest, XGBoost and LSTM Autoencoder anomaly detection with explainable AI and privacy-preserving federated learning.

Before returning to research, I spent three years as a software engineer at Qtec Solution, Bimafy, A1DIGI and Bangla Institute, building backend systems, payment infrastructure and mobile applications for finance, insurance and healthcare products across Next.js, ASP.NET, Express.js and React Native. That production background is what keeps my research grounded — I care as much about whether a detection system can actually run at the edge as I do about its accuracy.