Building resilient cloud infrastructure across AWS, Azure, and GCP โข Kubernetes enthusiast โข Passionate about teaching the next generation of cloud engineers
I specialize in designing and implementing production-grade cloud infrastructure for enterprises in fintech, healthcare, and blockchain. With 8+ years of experience and certifications across all major cloud platforms, I turn complex infrastructure challenges into elegant, automated solutions.
๐ Based in Lagos, Nigeria โข Building for the world ๐
- Multi-Cloud Architecture: Design and deploy scalable infrastructure across AWS, Azure, and GCP
- Kubernetes & Containerization: Production K8s clusters, StatefulSets, service mesh, and cloud-native applications
- DevOps & CI/CD: Automated pipelines with Jenkins, GitHub Actions, CircleCI, and Azure DevOps
- Infrastructure as Code: Terraform, CloudFormation, and Ansible for reproducible infrastructure
- Cloud Security: Zero-trust networking, SIEM implementation, compliance (banking/fintech)
- Technical Education: Mentoring engineers, creating learning resources, sharing practical knowledge
AI-Powered Marketing Personalization System ๐ Competition Submission
An AI-powered agent system that enables marketing teams to deliver compliant, on-brand personalized outbound messages at scale while maintaining safety standards and providing comprehensive measurement capabilities.
Tech Stack: Azure AI Python Azure OpenAI Azure Content Safety A/B Testing
Key Features:
- 5-agent architecture for end-to-end personalization
- Citation-grounded generation to eliminate brand risks
- Fail-closed safety screening for enterprise compliance
- Built-in experimentation with statistical analysis
- Results: 38.7% open rate vs 30.6% control baseline, 280 customers/minute processing
Links: ๐น Demo Video โข ๐ Live Presentation
Agentic Postgres Credit Decisioning System
Transforms PostgreSQL into an active financial reasoning engine using TimescaleDB and specialized database "agents" that collaborate to understand financial behavior patterns over time.
Tech Stack: PostgreSQL TimescaleDB FastAPI Python TigerData
Key Innovation:
- Multi-agent database architecture (Feature, Rule, Pattern, Trend agents)
- Time-series behavioral understanding vs point-in-time snapshots
- Dynamic rules that adapt to applicant type
- Fully explainable decisions with reason codes
Achievement: TigerData Challenge 2025 Submission
Production-Grade Air-Gapped Kubernetes Simulation
Highly-available Kubernetes cluster that simulates air-gapped, on-premise data center environments using AWS infrastructure, enforcing strict access patterns and security constraints.
Tech Stack: Kubernetes AWS Terraform Ansible Longhorn kube-vip
Architecture Highlights:
- Bastion-only access with all nodes in private subnet
- No public IPs on cluster nodes
- 3-master HA design with virtual IP
- Controlled egress via NAT Gateway (can be disabled)
- Distributed storage with Longhorn
AI-Powered Docker Configuration Generator
FastAPI + LLMs to automatically generate optimized Dockerfiles and docker-compose configs from Git repositories. Features OAuth authentication and Retrieval-Augmented Generation for continuous learning.
Tech Stack: Python FastAPI OpenAI Docker OAuth
Virtual Queue Management for Healthcare
Full-stack web app enabling remote patient check-ins with real-time SMS updates and secure staff dashboards. Built with real-time communication for efficient patient flow management.
Tech Stack: Node.js Prisma Socket.io PostgreSQL SMS Integration
Production-Grade K8s for Enterprise Banking
Architected highly available Kubernetes cluster simulating air-gapped environments for stateful IBM workloads (ACE/MQ). Includes disaster recovery, monitoring, and zero-trust networking.
Tech Stack: Kubernetes Terraform Longhorn Velero Prometheus Grafana Calico CNI
Key Features:
- Multi-node cluster with automated bootstrapping
- Distributed storage with Longhorn
- Complete DR solution with backup/restore automation
- Full observability stack
- NetworkPolicies for zero-trust security
Chainlink Oracle Integration ๐ Hackathon Winner
DevOps Pipeline for Blockchain Deployments
Streamlined Chainlink project deployments with CircleCI, AWS CloudFormation, automated rollback, React/Next.js frontend, and Solidity/Hardhat backend.
Tech Stack: Solidity Hardhat CircleCI AWS CloudFormation React Next.js
Achievement: Winner - AWS Track, $200K in AWS credits
Operationalizing Machine Learning
Deployed Scikit-learn model as containerized microservice with Kubernetes orchestration, comprehensive logging, and automated testing via CircleCI.
Tech Stack: Python Scikit-learn Docker Kubernetes CircleCI
- ๐ฅ Bunnyshell Hackathon - Team Lead, Winner (2023)
- ๐ฅ Celo Make Crypto Mobile - 1st Place, Infrastructure & Web3 Track (2021)
- ๐ฅ Datastax Holiday Hackathon - EMEA Winner & Top 10 Finalist (4th) (2021)
- ๐ฅ Chainlink Spring Hackathon - AWS Track Winner, $200K credits (2022)
- ๐ฐ AWS Funding - SaveEarth AI Project (2020-2022)
- ๐ 10+ Cloud Certifications - AWS, Azure, GCP Professional level
Cloud DevOps Engineer @ INFOMETICS (Sept 2024 - Present)
- Architected production Kubernetes for IBM ACE/MQ workloads
- Implemented comprehensive disaster recovery with 99.9% uptime
- Deployed zero-trust networking and full-stack observability
Founder & Lead Engineer @ IGLUM TECH SERVICES (2019 - 2024)
- Built multi-cloud solutions achieving 30% cost reductions
- Led 50+ deployment time improvements with CI/CD automation
- Developed award-winning AI platform on Azure
Key Client: UBA Group (United Bank for Africa)
- Engineered secure containerized environments for banking applications
- Led HTTPS infrastructure upgrade for enhanced security
- Collaborated with security teams on banking-grade compliance
- ๐๏ธ Project Management Professional (PMPยฎ) - PMI
- โ๏ธ Microsoft Certified: DevOps Engineer Expert (2023)
- โ๏ธ Google Cloud Professional Cloud Security Engineer (2024)
- โ๏ธ Google Cloud Professional Cloud Architect (2022)
- โ๏ธ Microsoft Certified: Azure Administrator Associate
- โ๏ธ Microsoft Certified: Azure Developer Associate
- ๐ง Linux Networking and Administration - The Linux Foundation
- Architecting Production Kubernetes for Legacy Enterprise Workloads
- Why I Learned Three Cloud Platforms Instead of One
- Securing Cloud Infrastructure in Air-Gapped Banking Environments
- Advanced Kubernetes Patterns: Service mesh, GitOps with ArgoCD
- AI/ML Integration: Vertex AI, SageMaker for production ML workloads
- Platform Engineering: Building internal developer platforms
- Content Creation: Sharing cloud infrastructure knowledge through tutorials and courses
- Multi-cloud architecture strategies
- Kubernetes in production (especially for stateful workloads)
- DevOps transformation for traditional enterprises
- Breaking into cloud engineering from other tech backgrounds
- Building in Africa for global markets
- ๐ค Technical consulting & advisory roles
- ๐ผ Fractional CTO/Cloud Architect positions
- ๐ค Speaking engagements & workshops
- ๐ Mentorship opportunities
- ๐ Interesting projects in fintech, healthcare, blockchain, AI
Let's build infrastructure that lasts! ๐
"The best time to start building was yesterday. The second best time is now."
