CyberNix Labs
Analytical and highly motivated Systems Security Researcher and Network Support Engineer combining hands-on enterprise IT experience with cutting-edge academic research in dynamic AI deception systems. Proven track record in monitoring complex telecommunications transport operations and performing enterprise-level hardware troubleshooting. Adept at bridging advanced computational modeling and network defense strategies to optimize SOC operations, mitigate active threats, and ensure maximum infrastructure uptime.
Designed and engineered a dynamic multi-persona deception platform. Developed an adaptive generative engine that routes attacker commands to context-aware local GGUF and cloud-based LLMs for threat containment.
Authored full architecture specifications and latency benchmarks for an LLM-driven decoy system designed to neutralize static honeypot evasion techniques.
Monitored regional telecommunication transport networks and handled enterprise-level hardware troubleshooting to ensure maximum uptime for critical network hubs.
Authored research focusing on post-quantum security frameworks and advanced network anomaly detection utilizing Quantum Support Vector Machines.