A systems thinker.
A builder at heart.
I am a PhD student in Computer Science, a DevSecOps & MLOps engineer, and a Database Administrator. I work across cloud infrastructure, machine learning platforms, and the operational details that make systems dependable.
From infrastructure to impact.
My professional work connects development, operations, security, and database administration. At MTN Ghana and enterprise clients, I own end-to-end DevSecOps and MLOps delivery across 150+ CI/CD pipelines. I also currently serve as a Database Administrator at Adaptive Computer Solutions.
- GPU-enabled MLOps infrastructure on AKS with Ollama, Kubeflow, and MLflow for LLM and ML deployment.
- 10 Kubernetes clusters across development, UAT, and production, with RBAC, namespace isolation, and zero-trust policies.
- Automated security gates using Trivy, SonarQube, and Azure Key Vault within enterprise delivery workflows.
Cloud Computing and Distributed Systems
Uncertainty-Aware Workflow Scheduling, Statistical Risk Control, and Cloud Resource Optimisation
My research interests connect statistical learning, uncertainty quantification, and optimisation to explore reliable, cost-efficient cloud workflow scheduling.
Explore my research interestsFrom raw data to reliable systems.
A reference MLOps architecture: the stages I bring together to make AI systems reproducible, observable, and ready to operate.
- 01
Data sources
Establish inputs and access.
- 02
Ingestion & validation
Great Expectations
- 03
Feature engineering
PySpark & Polars
- 04
Train & evaluate
Compare model behaviour.
- 05
Model registry
MLflow & DVC
- 06
Build & test
GitHub Actions
- 07
Containerise & deploy
Docker, Kubernetes & Azure
- 08
Online serving
REST, gRPC & Triton
- 09
Monitoring & logging
Grafana & Datadog
- 10
Drift detection
Close the feedback loop.