Cloud Security Architect | DevOps Engineer
I'm a Cloud Security Engineer & Architect who builds systems that don't just run - they defend, adapt, and scale. My focus is on secure cloud design, automated defense, and intelligent threat response across AWS, Azure, and hybrid environments. I merge DevSecOps principles, Zero Trust frameworks, and AI-driven security analytics to transform cloud infrastructures into resilient ecosystems.
Every architecture I design follows one core rule: security must move faster than risk. From IaC blueprints to real-time anomaly detection, my work blends engineering precision with strategic foresight. I'm fluent in automation, observability, and compliance engineering, and I continuously evolve systems to stay ahead of emerging threats including quantum-era risks.
Engineered a production-grade, highly available three-tier web application on AWS, implementing a complete cloud infrastructure with VPC networking, autoscaling, load balancing, and multi-AZ database deployment.
Currently designing and architecting a scalable fuel discovery platform aimed at helping drivers locate nearby fuel stations based on real-time availability, pricing, queue status, and route proximity. The project is in active development, focused on addressing fuel scarcity challenges in Nigeria through live data ingestion, community reporting, and intelligent routing.
Architected a sophisticated serverless API for curating literary collections. Leverages AWS Lambda to interface with Google Books Archive, featuring intelligent keyword discovery, temporal filtering, and paginated archival responses. Implements a vintage-inspired interface with real-time curation capabilities.
Designed and implemented a Zero Trust security model for AWS environments using IAM, SCPs, and network segmentation.
Developed a machine learning model to detect anomalous behavior in cloud logs with 94% accuracy.
Automated CIS benchmark compliance checks across AWS accounts, reducing audit time by 70%.
Worked on the Development of an AI-driven border monitoring system that analyzes trade data, detects anomalies, and helps prevent smuggling and illicit activities in real-time.
Developed a Python-based tool that automates security checks across AWS environments, identifying misconfigurations and compliance issues to enhance cloud security posture.
Built an AI-driven trading bot that integrates real-time news analysis and machine learning algorithms to make informed trading decisions in dynamic market conditions.
Interactive demonstrations of cloud security concepts and attack simulations
Test cloud IAM policies against sample API actions to understand access control patterns and least privilege principles.
Simulate common cloud attack patterns and see how security controls can prevent them.
Explore how Zero Trust principles apply to cloud environments with this interactive demo.
Authenticate and authorize every request based on all available data points
Grant just-in-time and just-enough-access with risk-based adaptive policies
Minimize blast radius and segment access to prevent lateral movement
Real-time analysis of all network traffic and access patterns
Divide networks into secure zones with individual access controls
Implement AI-driven threat detection and automated remediation
Consistent security policies across all environments and devices
Data encryption in transit and at rest by default
Visualize security groups and network ACLs in a cloud environment.
Click on an instance to view its security group rules
Have a project in mind or want to discuss cloud security? Reach out through the form or directly via email.