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Competências
Experiência
Project Lead – DevSecOps Shield
Academic Project
2026-01 -
Engineered an AI‑powered DevSecOps pipeline that automatically scans source code, dependencies, and container images for vulnerabilities before AWS deployment. Integrated secret detection, static code analysis, dependency scanning, and container image scanning, and built an AI risk scoring engine (0‑100) that gates unsafe builds. Developed a React dashboard for real‑time results and deployed the full‑stack application on AWS EC2 with FastAPI backend and Nginx frontend. Containerized the solution using Docker and Docker Compose for reproducible deployments.
Project Lead – NetSentinel AI
Academic Project
2026-01 -
Created a real‑time AI‑powered network security monitoring platform simulating SOC operations. Designed multi‑module threat detection covering port scans, SSH/RDP brute‑force, and rogue device alerts. Implemented an Isolation Forest anomaly detection model to identify behavioral threats and a risk scoring engine (0‑100) with severity classification. Exposed all modules via FastAPI REST endpoints with auto‑generated Swagger documentation for SIEM integration.
Project Lead – AutoShield AI
Academic Project
2025-01 - 2025-12
Developed a production‑grade cloud security automation platform that continuously scans AWS resources (S3, IAM, EC2 security groups) for misconfigurations and critical vulnerabilities. Leveraged Python, FastAPI, and AWS Boto3 to automate detection, generate risk scores, and provide remediation guidance through a REST API. Integrated React (Vite) front‑end for visualization and deployed the solution on AWS infrastructure.
Formação
BSc (Hons) in Information Technology, Specialization: Cyber Security, Sri Lanka Institute of Information Technology (SLIIT), Expected Graduation 2028
Idiomas
English
fluent
Última atualização: há 1 mês