Research-Driven Cloud Solutions Engineer | MIT Student (Cybersecurity Focus) | Azure Security Engineer Associate

I'm pursuing my Master of Information Technology with specialization in Cybersecurity (2026) at Whitecliffe College, where I bridge academic research with enterprise practice to deliver cutting-edge security solutions.

• 🔒 Evidence-Based Security – Applying research methodologies to cybersecurity implementations
• 🛡️ Advanced Threat Intelligence – Academic-backed approach to Azure Sentinel and Defender deployments
• 🤖 Intelligent Security Systems – Integrating AI/ML research with Microsoft security stack
• 📊 Strategic Technology Management – Academic governance frameworks applied to enterprise environments
• 🏗️ Enterprise Architecture – Designing scalable, secure cloud solutions for Fortune 500 companies

Zero-trust architecture optimization in hybrid Microsoft cloud environments with emphasis on AI-driven threat detection

Project: Enterprise Zero-Trust Framework
Technology: Azure Sentinel | Defender | PowerShell | Terraform
Impact: 40% reduction in security incidents across 50+ enterprise clients
Features:
  - Multi-tenant Security Framework
  - Real-time Threat Intelligence Dashboard  
  - Automated Compliance Reporting
  - AI-powered Risk Assessment

Project: Intelligent Security Analytics Platform
Technology: Python | TensorFlow | Azure ML | Power BI
Impact: 95% accuracy in threat prediction, 60% faster incident response
Features:
  - Machine Learning Anomaly Detection
  - Predictive Threat Modeling
  - Automated Response Orchestration
  - Real-time Security Dashboards

Project: Fortune 500 Cloud Transformation
Technology: Azure | Kubernetes | Terraform | DevOps
Impact: $2M+ cost savings, 99.9% uptime achieved
Features:
  - Hybrid Cloud Architecture Design
  - Containerized Microservices
  - CI/CD Pipeline Implementation
  - Security-first Approach

• 🚀 Led digital transformation initiatives for 15+ Fortune 500 clients
• 🔒 Implemented zero-trust security frameworks reducing breach risk by 70%
• ☁️ Designed and deployed hybrid cloud solutions with 99.9% uptime
• 📊 Managed $5M+ in cloud infrastructure optimization projects

• 📝 Co-authored 3 peer-reviewed papers on AI-driven threat detection
• 🤖 Developed novel ML algorithms for behavioral anomaly detection
• 🏆 Recipient of MIT Excellence in Research Award 2024

class AriffMohamed:
    def __init__(self):
        self.role = "Cloud Solutions Engineer"
        self.education = "MIT - Cybersecurity Research"
        self.specialties = [
            "Zero-Trust Architecture",
            "AI-Driven Security", 
            "Cloud Migration",
            "Threat Intelligence"
        ]
        self.current_research = "Hybrid Cloud Security Optimization"
        self.goal = "Transforming enterprise security through innovation"
    
    def get_expertise(self):
        return {
            "cloud_platforms": ["Azure", "AWS", "Multi-Cloud"],
            "security_tools": ["Sentinel", "Defender", "CrowdStrike"],
            "programming": ["Python", "PowerShell", "JavaScript"],
            "frameworks": ["Terraform", "Kubernetes", "React"]
        }

💫 "Bridging academic excellence with enterprise innovation in cybersecurity" 💫

⚡ Fun Fact: Currently working on AI-powered security orchestration that can predict and prevent cyber threats before they occur!