Full-Stack Software Engineer

I build backend APIs, full-stack SaaS products, and AI-integrated systems. Experienced in Azure infrastructure and African payment systems (M-Pesa, Pesapal). Based in Nairobi, Kenya.

Nairobi, Kenya · Open to remote and on-site engagements.

Areas of expertise

Backend & API Engineering

ASP.NET Core, Node.js Fastify, RESTful API design, PostgreSQL optimisation, authentication systems, SignalR

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Full-Stack Product Builds

Next.js App Router, React, Blazor Server and WebAssembly, Turborepo monorepo architecture

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AI Feature Integration

Anthropic Claude API, OpenAI embeddings, semantic search via pgvector, retrieval-augmented generation

See case study

Cloud & DevOps

Azure App Services, Service Bus, Redis Cache, Key Vault, Docker, Kubernetes, Terraform, GitHub Actions

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African Payment Systems

M-Pesa Daraja API, Pesapal, STK Push integration, callback handling, idempotency patterns

See case study

Enterprise Architecture

Microservices, CQRS and Event Sourcing, clean architecture, SOLID principles, TDD

See case study

Delivered results

API response time improvement
35%
Cognativ Technology, 2025
Reduction in manual processing
40%
Alliance Bioversity International and CIAT, 2025
Test coverage maintained
80%+
across production systems
Payment integrations shipped
2
M-Pesa STK Push, Pesapal

Case studies

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An enterprise SaaS platform targeting 40% reduction in healthcare appointment no-shows and 50% administrative efficiency gains for East African healthcare providers. Built on .NET 10, Azure, and microservices with CQRS/Event Sourcing. MVP in active development.

HealthcareSaaSEnterprise
SmartSchedule HealthcareJanuary 2026

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.

EnterpriseAutomationPython
Alliance Bioversity International and CIATApril 2025

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.

E-commerceFintechAI
Riggs London KenyaOctober 2024

What I Learned Shipping AI Features in Production

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.

AIAnthropicOpenAI
January 20269 min read

Semantic Product Search with pgvector and OpenAI Embeddings

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.

PostgreSQLpgvectorOpenAI
October 20254 min read

Integrating M-Pesa STK Push with a Next.js API Route

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.

M-PesaNext.jsTypeScript
October 20254 min read

Recent activity

Looking for a contract engineer?

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.