Developed an AI-powered threat detection platform that ingests web/log traffic, detects anomalies using Isolation Forest, One-Class SVM, and a PyTorch autoencoder, then scores threats, generates alerts, and visualizes incidents in a Next.js dashboard. Built with a microservices architecture using FastAPI for ML inference, Node.js/Express gateway, and PostgreSQL for persistent storage.