bhagya lakshan

I’m a cybersecurity-focused ICT undergraduate specializing in Network Technology, with hands-on experience building AI-driven intrusion detection systems, cloud vulnerability scanners, and phishing detection tools. I combine SOC workflows with practical network security fundamentals to turn signals into actionable detections.

I’ve architected a real-time SOC dashboard and hybrid IDS that blends ML classification with rule-based heuristics to detect 10+ network attack signatures, including a live traffic monitoring engine that logs threat events to a structured database. I also built an operator-facing GUI to visualize anomalies and review threat logs like a production SOC monitoring workflow.

To address real-world threats, I developed an AI-powered phishing URL detection system using extracted URL structure features, and deployed it with a React + Python setup for real-time triage. I streamlined delivery with automated CI/CD so security analysts can benefit from continuous model updates.

On the engineering side, I built an async Python/FastAPI cloud vulnerability and port scanner with production-style security hardening (input sanitization, CORS security policies, and CI/CD pipelines). I’m actively pursuing further SIEM/log analysis credentials to strengthen my ability to support monitoring and incident response in an enterprise security environment.