AWS Certified Cloud Engineer Building What Businesses Actually Need.
Cloud Engineer specialising in AWS — designing solutions for African businesses that are production-ready, scalable, and built to last. I design and deploy cloud infrastructure that solves real business problems: improving security, reducing costs, and ensuring system reliability that teams can depend on.
My work sits at the intersection of cloud engineering, automation, and practical impact. I focus on real-world implementations — automated backups, disaster recovery systems, cost monitoring, and enterprise-grade secure infrastructure delivered at prices small and medium-sized businesses can actually afford. No fluff. Just infrastructure that runs.
$ terraform apply
Plan: 12 to add, 0 to change, 0 to destroy.
Creating infrastructure...
✓ aws_s3_bucket.portfolio created
✓ aws_cloudfront_distribution created
✓ aws_lambda_function.counter created
✓ aws_dynamodb_table.visitors created
✓ aws_apigatewayv2_api created
Apply complete! Resources: 12 added.
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Four production-grade AWS solutions solving real problems for African businesses.
Enterprise-grade security monitoring built specifically for small and medium businesses — at a price they can afford. Detects suspicious inbound and outbound traffic on business servers in real time, triggers automated alerts, and maintains comprehensive audit logs. SMEs get the protection of a large enterprise without the enterprise price tag.
An AI-powered cloud solution that delivers timely, affordable agricultural advice directly to farmers via SMS — no smartphone or internet required. Built specifically for rural Kenya where connectivity is limited but the need for expert guidance is high. Farmers get crop advice, weather alerts, and pest control guidance on any basic phone.
An automated backup and disaster recovery system designed for Kenyan small businesses that cannot afford extended downtime. Handles scheduled backups, cross-region replication, and automated recovery workflows. When something goes wrong — and eventually it always does — this system gets businesses back online fast, with minimal data loss and zero manual intervention.
A cloud cost calculator and real-time dashboard that gives engineering teams clear, visual breakdowns of AWS spending. Built to cut through billing complexity and surface exactly where money is going — and where it can be saved. Uses live data from AWS Cost Explorer with interactive charts that make cloud finance accessible to non-technical stakeholders too.
This portfolio is itself a cloud engineering project — fully serverless, auto-deployed, and production-grade.
The website you're looking at right now is a set of files — HTML, CSS, and JavaScript — stored in Amazon S3, which is essentially a secure file storage service in the cloud. Those files are then distributed globally through AWS CloudFront, a Content Delivery Network (CDN) that ensures the site loads fast whether you're opening it from Nairobi, London, or New York. No traditional web server needed.
Every time someone visits this page, a small piece of code runs automatically in the cloud — no server running 24/7, no wasted cost. This is called a serverless function, powered by AWS Lambda (written in Python). It receives the visit through API Gateway (which acts like a front door for the code), then records it in DynamoDB — Amazon's fast, always-on database — so the visitor count you see on this page updates in real time.
Every single cloud resource powering this site — the storage, the CDN, the database, the functions — was created using Terraform, an industry-standard tool that lets engineers write infrastructure the same way developers write software. This means the entire setup is documented in code, version-controlled in Git, and can be rebuilt from scratch in minutes. No clicking around in dashboards. No undocumented manual steps. Just clean, reproducible infrastructure.
When a change is pushed to this project's repository on GitHub, it automatically goes live — no manual upload, no human intervention required. This is called a CI/CD pipeline (Continuous Integration / Continuous Deployment), and it's built with GitHub Actions. The moment code is approved and merged, GitHub Actions runs a set of automated checks and deploys the updated site directly to AWS. This is how professional engineering teams ship software — fast, safely, and consistently.