DevOps | DevSecOps | Cloud Infrastructure | Automation & AI Integration
Lagos, Nigeria | Portfolio | LinkedIn | YouTube
DevOps and Cloud Infrastructure Engineer specializing in automated deployment pipelines, infrastructure security, and AI-driven automation. I design and implement enterprise-grade infrastructure solutions that combine continuous integration/continuous deployment (CI/CD), infrastructure-as-code (IaC), security automation, and intelligent operational tools.
Core Expertise:
- 🔄 CI/CD & Automation — End-to-end pipeline orchestration, deployment automation, infrastructure provisioning
- 🔐 DevSecOps — Security scanning, threat modeling, compliance automation, secure supply chain
- 🤖 AI-Powered Operations — Intelligent content analysis, automated threat detection, ML-driven infrastructure optimization
- ☁️ Multi-Cloud Infrastructure — Vendor-agnostic cloud architecture, infrastructure-as-code frameworks
- 📦 Container & Orchestration — Docker containerization, container security, orchestration platforms
Infrastructure & Automation:
- Infrastructure-as-Code (Terraform, Ansible, CloudFormation)
- Container technologies (Docker, container security scanning)
- Orchestration platforms (Kubernetes, container networks)
- CI/CD pipeline design and implementation
- GitOps and configuration management
DevSecOps & Security:
- Security scanning and vulnerability assessment
- Threat modeling and risk analysis
- SIEM and security monitoring
- Compliance automation
- Secure supply chain practices
Programming & Scripting:
- Python | Bash | Go | TypeScript | JavaScript | HCL
Data & Databases:
- Relational databases (SQL, PostgreSQL)
- NoSQL databases (MongoDB)
- Data pipeline design
DevOps Mentor - Expadox Lab | May 2026 - Present
- Leading DevOps teams through infrastructure modernization
- Designing scalable, secure, and automated infrastructure solutions
- Teaching DevSecOps principles and infrastructure-as-code best practices
- Mentoring engineers on cloud architecture and automation strategies
A production-ready infrastructure automation platform demonstrating modern DevOps practices with integrated security scanning and continuous deployment.
Key Features:
- CI/CD Pipeline: Automated build, test, and deployment workflows
- Security Integration: 5+ automated security scanners in the deployment pipeline
- GitOps Architecture: Declarative infrastructure management with automated synchronization
- Infrastructure-as-Code: Modular, reusable infrastructure definitions
- Multi-Environment Support: Isolated dev, staging, and production environments
- Automated Deployment: 60-second detection and synchronization of infrastructure changes
- Monitoring & Observability: Comprehensive logging and health monitoring
Architecture Highlights:
- Containerized microservices with automated image management
- Security scanning at build time and runtime
- Declarative configuration with automated drift detection
- Infrastructure versioning and rollback capabilities
Production-grade laboratory environment for infrastructure automation, security testing, and DevOps best practices implementation. Serves as hands-on learning infrastructure for the mentoring program.
An intelligent platform demonstrating AI integration with infrastructure automation. Automatically processes, analyzes, and transforms unstructured content using machine learning pipelines.
AI & Automation Features:
- Intelligent Content Processing: ML-driven extraction and transformation
- Automated Workflows: Background job processing with queue management
- Scalable Processing: Distributed processing framework for large datasets
- API-Driven Architecture: RESTful services with async processing
Technical Architecture:
- API Layer: High-performance service APIs with authentication
- ML Pipeline: Content extraction, analysis, and transformation engines
- Storage & Caching: Distributed caching and data management
- Containerized Deployment: Docker-based deployment and scaling
Technology Stack:
- Backend orchestration (Go/Python microservices)
- Async task processing and job queues
- Machine learning model serving
- API gateway and request routing
A sophisticated AI-driven security application for detecting synthetic/generated content. Demonstrates how AI can be integrated into security operations and compliance automation.
DevSecOps Integration:
- Intelligent Threat Detection: ML-based pattern recognition for content authenticity
- Security Scoring & Risk Assessment: Automated confidence scoring and risk evaluation
- Report Generation & Compliance: Automated compliance report generation
- Multi-Format Analysis: Support for various file formats and data sources
- Extensible Detection Engine: Custom model training and deployment
Security Features:
- Transformer-based anomaly detection
- Confidence scoring and risk classification
- Detailed analysis reports for audit trails
- Integration points for security workflows
- Browser-based security extensions for endpoint protection
Technical Implementation:
- Deep learning models for pattern recognition
- FastAPI services for low-latency inference
- React-based security dashboards
- PDF report generation for compliance documentation
Enterprise-grade application infrastructure demonstrating cloud deployment best practices, infrastructure automation, and deployment pipelines.
DevOps Practices:
- Infrastructure-as-Code: Terraform modules for reproducible infrastructure
- Containerization: Optimized Docker images for each service tier
- Configuration Management: Environment-specific configurations and secrets management
- Database Automation: Automated database provisioning and migrations
- Deployment Automation: Automated build, test, and deployment workflows
Architecture:
- Frontend: Server-side rendered web application
- API Backend: RESTful service architecture with authentication
- Database: Relational database with ORM abstraction
- Security: Authentication, authorization, and secure communication
Infrastructure Components:
- Application servers and load balancing
- Database provisioning and backup automation
- Networking and security group configuration
- Monitoring and log aggregation setup
Sub-Projects:
- book-review-app (Nov 2025) - Application code and deployment configuration
- book-review-infra (Nov 2025) - Infrastructure-as-Code and cloud provisioning
Application Repository | Infrastructure Repository
ansible-mini-finance (Oct 2025) Infrastructure automation for financial systems using declarative configuration management. Demonstrates idempotent playbook design and infrastructure orchestration.
adhoc-azure-automation (Oct 2025) Cloud infrastructure automation for multi-cloud environments. Infrastructure-as-code approach to cloud provisioning, scaling, and lifecycle management.
Ansible-multi-play-deployment Enterprise playbook framework for complex infrastructure deployments with multiple environment support and rolling update strategies.
A structured 3-year learning resource covering DevOps principles, processes, tooling strategies, and production-grade use cases. Built from real-world operational experience.
Systematic threat modeling framework for multi-cloud infrastructure. Covers asset inventory, trust boundaries, threat analysis, and mitigation strategies across cloud platforms.
Security Components:
- Infrastructure asset mapping
- Trust boundary identification
- Threat enumeration and impact analysis
- Mitigation and remediation strategies
- Architecture and threat diagrams
Comprehensive study materials and best practices documentation for cloud infrastructure certifications and operational excellence.
- ✅ CompTIA Security+ — Information security fundamentals and best practices
- ✅ Kubernetes and Cloud Native Associate (KCNA) — Container orchestration and cloud-native architecture
- 🔄 Cloud Infrastructure Certifications — In Progress
Infrastructure & Operations:
- Designing scalable, resilient infrastructure using infrastructure-as-code principles
- Implementing automated security scanning and threat detection in CI/CD pipelines
- Building intelligent operational systems that combine automation and analytics
Security & Compliance:
- Integrating security controls throughout the software delivery lifecycle (DevSecOps)
- Developing threat modeling frameworks for infrastructure risk assessment
- Implementing compliance automation and security policy enforcement
AI-Driven Automation:
- Integrating machine learning models into operational workflows
- Building intelligent content analysis and anomaly detection systems
- Creating AI-powered security and compliance automation
- Leveraging predictive analytics for infrastructure optimization
Team Development & Knowledge Sharing:
- Mentoring engineers on DevOps, DevSecOps, and cloud architecture principles
- Building communities around DevOps best practices and knowledge sharing
- Contributing to industry knowledge through documentation and open-source work
DevOps Mentor & Architect - Expadox Lab (May 2026 - Present) Leading infrastructure modernization initiatives, designing cloud-native architectures, and mentoring high-performing DevOps teams
Data Centre Operations Engineer - Globacom Hands-on infrastructure management, system optimization, incident response, and operational excellence in large-scale environments
Infrastructure Support Engineer - Toptech Engineering Ltd. Infrastructure deployment, technical operations, automation, and project delivery
CyberLab Chronicles - Video content covering DevOps practices, cloud infrastructure, security automation, and operational excellence tutorials
Last Updated: May 2026 | Open to collaboration on DevOps, DevSecOps, and infrastructure automation projects