Accomplished Machine Learning & Security Engineer with expertise in reinforcement learning, adversarial model evaluation, and NLP-driven behavioral analysis. Extensive experience in AI-driven threat detection, anomaly detection, and scalable security architectures, leading research and development of RL-based exploit detection frameworks (Z-Hunter) and advancing AI model robustness in adversarial settings. Proven ability to design and deploy large-scale ML-driven security solutions with direct applications to model personalization and behavior shaping.
Betti numbers of order preserving graph homomorphisms, Involve: a Journal of Mathematics, 5-1, 2012, 67-80, Steven Klee