I design, build and deploy dependable backend and cloud-native systems, helping organisations move software into reliable production environments.
Current focus
Cloud-native application delivery
Secure APIs, platform automation and reliable operations
Role
Senior ICT Assistant, UENR
Core
Software and cloud engineering
Credentials
2 active AWS certifications
Delivery
Web platforms, mobile applications, APIs and cloud infrastructure
Selected projects
Each case study explains the problem, implementation, deployment approach, reliability considerations and source code.
Cloud platform and applied AI
2026A transparent request-management platform for Ghanaian municipalities, combining citizen reporting, role-based staff workflows, SLA automation, explainable routing, audit trails, and production deployment controls.
Platform engineering and full-stack development
2026A multi-platform ITSM system for Ghanaian organisations that keeps essential ticket workflows available during unreliable connectivity and synchronises work when service returns.
Security engineering and machine learning
2026A privacy-conscious DLP platform for small accounting firms that classifies document sensitivity, evaluates user behaviour, and applies an explainable policy response.
DevOps and GitOps
2025A reproducible delivery path for a containerised React application using NGINX, Kubernetes manifests, and Argo CD reconciliation.
Capabilities
My work combines cloud and platform tools with application engineering, data design, security, documentation and day-to-day operations.
Infrastructure, containers, delivery automation, and production operations.
AWS
EC2, S3, Lambda, RDS, API Gateway, DynamoDB, Rekognition
Docker
Images, Compose, multi-stage builds, runtime hardening
Kubernetes
Workloads, services, configuration, rollout operations
GitHub Actions
Automated test, build, security, and deployment workflows
Argo CD
Declarative delivery and GitOps reconciliation
Jenkins
Pipeline automation and delivery orchestration
Linux
Server administration, shell workflows, and diagnostics
NGINX
Reverse proxying, TLS termination, and static serving
Backend, frontend, mobile, API, and data-layer development.
Python
FastAPI, Django, automation, and data workloads
TypeScript
Typed application and API development
Node.js
Express services, integrations, workers, and tooling
React
Accessible, responsive web interfaces
Next.js
Server-rendered applications and technical SEO
Flutter
Cross-platform mobile, desktop, and web applications
PostgreSQL
Relational modelling, queries, and performance
Redis
Caching, queues, and coordination
The methods used to move from working code to dependable systems.
Git
Reviewable changes, branching, and release history
REST APIs
Resource design, contracts, authentication, and idempotency
CI/CD
Repeatable validation and controlled delivery
Security
RBAC, secrets, audit trails, and secure defaults
Observability
Logs, metrics, health signals, and actionable diagnostics
Technical writing
Architecture records, runbooks, research, and developer guides
Experience
My background crosses software delivery, cloud engineering, data work, technical support, teaching, and research communication.
Full profileUniversity of Energy and Natural Resources (UENR)
Freelance & Contract
University of Energy and Natural Resources (UENR)
AWS Certified Solutions Architect - Associate
Amazon Web Services, 2026
AWS Certified Cloud Practitioner
Amazon Web Services, 2025
Writing and insights
Practical notes on architecture, platform engineering, APIs, cloud operations, and the decisions behind reliable software.
A practical architecture for keeping ticket creation, updates, and comments dependable when connectivity disappears mid-workflow.
The real value of GitOps is the continuous comparison between declared and observed state, not the presence of an Argo CD dashboard.
Safe retries are not an implementation detail in payment and workflow APIs. They are part of the promise the product makes to users.
Engineering support
Let's discuss the system, your constraints and a practical delivery path.
