● Developed an intelligent cybersecurity platform for Software-Defined Networking (SDN), combining machine-learning-based and rule-based threat detection. ● Implemented secure platform access using Role-Based Access Control (RBAC), JWT authentication, and Multi-Factor Authentication (MFA), with audit logging for administrative changes. ● Developed network monitoring and SDN device management capabilities, with automated alert correlation to identify related security events. ● Enriched security alerts using external threat intelligence feeds and mapped detected activities to relevant MITRE ATT&CK techniques. ● Integrated Zeek for network traffic monitoring and IOC matching, providing centralized threat detection, analysis, and security visibility.

● Collected and structured a large corpus of exam questions and course materials to build an educational Retrieval-Augmented Generation (RAG) system. ● Designed the retrieval pipeline to index and search course content, enabling accurate, context-grounded answer generation for student queries. ● Refined prompt engineering and retrieval strategies to improve answer relevance and reduce hallucinations. ● Evaluated system outputs against course material to ensure high-quality, curriculum-aligned educational responses.

● Developed anomaly detection models to identify potentially fraudulent or suspicious reservation behaviors using Python, Pandas, and Scikit-learn. ● Engineered behavioral features and evaluated models using precision/recall trade-offs to minimize false positives. ● Delivered an interactive dashboard for real-time anomaly visualization, supporting operational decision-making and investigation workflows.