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Cloud & Security Automation Engineer (Azure) | Python • API Integrations • CI/CD • Terraform | Building Secure, Automated Cloud Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
bluephoenix-detection-lab
March 10, 2026 – Present
A GitHub-first detection engineering lab focused on MITRE ATT&CK–aligned detections, real endpoint telemetry, and security automation design.
View Projectterraform-azure-identity
March 9, 2026 – Present
Opinionated Terraform modules for managing Azure Entra ID identity resources as infrastructure.
View Projectazure-identity-automation-lab
March 6, 2026 – Present
Automating Azure Entra ID identity operations using Python and Microsoft Graph. Covers user creation, group management, membership assignment, and identity auditing.
View Projectcloud-platform-engineer-roadmap
March 3, 2026 – Present
A practical, hands-on roadmap documenting my progression as a Cloud & Platform Engineer through Linux, Azure, automation, CI/CD, and cloud security projects.
View Projecthybrid-cloud-threat-prediction
February 17, 2026 – Present
This project implements a machine-learning–based threat prediction system for hybrid cloud environments. It is based on my BSc Cyber Security dissertation at the University of West London.
View ProjectDefenderHunt
October 16, 2025 – October 16, 2025
Modular threat hunting and incident response toolkit using Microsoft Defender, KQL, and MITRE ATT&CK. Built for SOC analysts and cloud security engineers.
View ProjectYara-Rules-Library
May 26, 2025 – May 26, 2025
Yara-Rules-Library is a comprehensive repo of custom Yara rules for malware detection and digital forensics. It features detailed rule documentation, real-world case studies, sample test files, and a tutorial on advanced rule creation—ideal for security analysts and malware researchers.
View ProjectCultural Fit Analysis
The candidate's projects are heavily skewed towards cybersecurity, cloud security, and DevOps/Platform engineering, with a specific focus on Azure. While there is one project related to machine learning for threat prediction, the overall portfolio does not strongly align with a pure 'Data Scientist' role, which typically requires a broader range of data science projects, statistical modeling, and machine learning applications beyond security. The candidate's experience level is listed as 0, which suggests entry-level, but the projects demonstrate a higher practical skill level. The diversity of projects within the cybersecurity domain is good, but the breadth for a Data Scientist role is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual with a strong interest in learning and documenting their technical progression. The focus on personal labs and roadmaps suggests a structured approach to skill development. However, without specific psychometric test results or interview data, it is difficult to fully assess soft skills like teamwork, stress handling, or communication clarity in a collaborative environment.