I build backend APIs, full-stack SaaS products, and AI-integrated systems. Experienced in Azure infrastructure and African payment systems (M-Pesa, Pesapal).
Nairobi, Kenya · Open to remote and on-site engagements.
ASP.NET Core, Node.js Fastify, RESTful API design, PostgreSQL optimisation, authentication systems, SignalR
View servicesNext.js App Router, React, Blazor Server and WebAssembly, Turborepo monorepo architecture
View servicesAnthropic Claude API, OpenAI embeddings, semantic search via pgvector, retrieval-augmented generation
See case studyAzure App Services, Service Bus, Redis Cache, Key Vault, Docker, Kubernetes, Terraform, GitHub Actions
View servicesM-Pesa Daraja API, Pesapal, STK Push integration, callback handling, idempotency patterns
See case studyMicroservices, CQRS and Event Sourcing, clean architecture, SOLID principles, TDD
See case studyBrandon joined with a clear understanding of what production-grade backend engineering looks like. His API work on the platform was well-structured, consistently documented, and built with the kind of test discipline — 80% coverage, xUnit unit and integration tests — that most engineers talk about but don't deliver. He was proactive in architectural discussions and took ownership of CI/CD improvements without being asked. That combination of technical rigour and initiative is not common at his level of experience.
Brandon built tools that our team of twelve actually used every day — which is a higher bar than it sounds. The APIs were fast, the web applications were straightforward to navigate, and when something wasn't working the way we needed it to, he fixed it quickly and explained what had changed. The documentation he left behind was thorough enough that new staff could get up to speed without needing to track down the person who built the system. That kind of handover quality is rare.
Brandon delivered across three client projects during his time with us and did it reliably. The frontend work was clean, the Node.js APIs were well-organised, and the user engagement improvements were measurable — clients noticed. What stood out was his consistency: he didn't need close supervision, he communicated clearly when something was taking longer than expected, and the code he shipped held up. For a junior developer, that level of professional reliability made a real difference to how we operated.
I take on select engagements in backend API engineering, full-stack SaaS builds, AI feature integration, and cloud infrastructure. Typical engagements run 4–12 weeks. Based in Nairobi, Kenya — remote-first.
A RAG-powered conversational AI tool that answers civic and governance questions grounded on Kenya's Constitution 2010, IEBC voter registration information, and county government explainers — available on web and WhatsApp.
A solo monorepo e-commerce platform bringing Riggs London fragrances to the Kenyan market, built with Next.js 14, Fastify, PostgreSQL with pgvector, Redis, M-Pesa STK Push, Pesapal, and an Anthropic Claude AI chatbot.
A 6-month engineering engagement at a CGIAR research centre building internal automation tooling — Python/Flask RESTful APIs, PostgreSQL integration, and web applications adopted by a cross-functional team of 12. Delivered 20% processing time reduction and 40% elimination of manual tasks.
Honest lessons from building a Claude-powered chatbot, a pgvector semantic search pipeline, and an AI assistant into real products — covering prompt architecture, cost decisions, rate limiting, and where AI actually earns its place.
How to implement semantic search in PostgreSQL using the pgvector extension and OpenAI embeddings — covering schema design, embedding generation, cosine similarity queries, IVFFlat vs HNSW indexing, and fallback strategies.
A complete guide to integrating Safaricom's M-Pesa STK Push using the Daraja API in a Next.js 14 App Router project — covering authentication, STK Push request, callback handling, idempotency, and error states.