Details
Skills
Vulnerability assessment and penetration testing
Threat analysis and risk assessment
Cloud security and IAM (Azure, multi-tenant environments)
Security governance, compliance, and audit readiness
Incident response concepts and security operations
Network and endpoint security
Executive risk reporting and technical documentation
Applied machine learning and data classification (Python)
Automation of decision workflows and recommendations
Data analysis and structured output generation
AI fundamentals from academic coursework
Security-focused use of AI for threat analysis and prioritization
About
Computer Engineering student at Concordia University with hands-on experience in cybersecurity consulting, IT security operations, and applied AI-driven automation. Background includes delivering offensive and defensive security services for regulated enterprises, executing more than twenty end-to-end vulnerability and penetration testing engagements across web, network, and cloud environments, and supporting compliance initiatives aligned with ISO 27001, NIST, GDPR, and PCI DSS. Experience spans incident response readiness, cloud IAM hardening, and development of executive-level risk reporting that ties technical findings to business impact.
Academic and project work emphasizes structured automation and applied artificial intelligence, including Python-based prototypes for data analysis, classification, and recommendation generation. Microsoft Certified Azure Security Engineer Associate with strong grounding in security engineering, risk assessment, and cloud security architecture. Bilingual in English and French with experience working in international and regulated environments.
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