Solutions Architecture
Deciding how application, data, integrations, and deployment fit together, then owning the result.
See how the decisions get madeKampala, Uganda · Architecture · Full-Stack · Data & AI
Web applications, data pipelines, and the reporting that comes out of them. Usually for teams whose data turned out messier than they expected. Available for contract work and full-time roles.
Capabilities
Each one has its own page: what you get, how the work runs, and the evidence behind it.
Deciding how application, data, integrations, and deployment fit together, then owning the result.
See how the decisions get made
React and Next.js interfaces on Python and Node services, with auth, payments, and deployment.
See what a full build includes
Prediction and classification models, model-ready data, and workflows that run unattended.
See the modelling work
Automated pipelines, SQL databases, validation, and dependable reporting inputs.
See how the pipelines run
Power BI and Python reporting that connects evidence to the decision.
See what the reporting coversWorking stack
No aspirational entries. Each of these shows up in real work, across interfaces, services, data, and models.
Selected work
Two live client sites and eight public repositories. All of it open to look at.
Full-Stack
Collaboration on the e-commerce platform for Uganda’s established bookstore chain. I worked the full stack: catalogue, accounts, cart, and checkout.
Data Visualisation
Machine Learning
Classification project focused on identifying customers who may be at risk of leaving.
Professional experience
Data pipelines, SQL workflows, reporting, dashboards, quality automation, and model-ready datasets for SME client contexts.
Financial data verification, infrastructure field data, document digitisation, record cleansing, and technical reporting.
Remote project delivery covering Python data tasks, API handling, data processing, and workflow automation.
Professional certification · November 2025
A 12-course programme covering Python, SQL, data analysis, visualisation, machine learning, applied data science, and generative AI for data science.
Tell me the problem. I'll tell you what it takes and how long.