Cybersecurity engineer and AI researcher focused on machine learning, deep learning, and securing the internet space for the people — building systems that are both intelligent and trustworthy.
I'm a cybersecurity researcher with a deep interest in how AI systems can both create and defend against new threat vectors. My work sits at the intersection of computer vision, adversarial ML, and real-world security challenges.
I'm drawn to problems where the stakes are high: synthetic identity fraud, deepfake-enabled disinformation, and the arms race between generative models and detection systems.
Adversarial ML, deepfake detection & synthetic media forensics
PyTorch, transfer learning, GradCAM interpretability, W&B
Identity fraud defense, threat modeling, AI robustness
Streamlit, Hugging Face Hub, cloud-native ML pipelines
Building an advanced deepfake and AI-generated face detection system using ResNet50 transfer learning.
SyntheticShield focuses on robust detection of modern generative models while ensuring model interpretability — a critical requirement for real-world cybersecurity applications.
Developed in collaboration with Queen's University Belfast, this platform analyzed the impact of pollution-awareness videos shown to children by combining geospatial mapping with data visualization.
Led all technical development, delivering a live, interactive system that mapped video deployment locations and visually represented research findings through dynamic charts and geospatial overlays.
Additional projects in adversarial ML and AI security tooling currently in progress. Check back or follow on GitHub.
Modules: Network Security · Pentesting & Ethical Hacking · Cryptography · Cyber in AI · Software Assurance
Always happy to talk AI security, research, or anything at the intersection of machine learning and adversarial systems. Reach out through any of the links below.
If you have any cool and crazy ideas to work on, just ping and let's get started.
"Sounding the alarm before the breach — that's the only defense that matters."