Master your craft.

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Neural Networks, Explained Simply

A beginner-to-pro series that explains neural networks in plain language, one real-world example at a time. We start with a single neuron and build up to training, activation functions, real architectures, and deployment — no math background or PhD required.

CLI & Terminal

Tools that live in the terminal.

Mac Apps

Native macOS apps built with SwiftUI — from FinderGit, a Git-aware Finder replacement, to Netfox, a privacy-first LAN monitor. Deep-dives on architecture, SwiftUI patterns, Sparkle auto-updates, code signing and notarisation, and shipping polished, no-telemetry apps outside the App Store.

WordPress

A hands-on series about building, extending, and scaling WordPress — from themes and plugins to the block editor, REST API, and performance. Practical tutorials and deep-dives for developers who want to ship real-world sites and tools.

Handling Edge Cases in High-Frequency P2P Payouts: Lessons from Binance P2P and Safaricom M-Pesa Integration

Engineering in Practice

A practical series sharing what I learn while building software — from Angular and npm libraries to APIs, authentication, DevOps, and infrastructure.

Building ZyVOP in Public

A running log of the real decisions behind ZyVOP — hosting migrations, stack choices, costs, and the mistakes that came with them. No polish, just what happened and what it cost.

Production-Grade Microservices Architecture with Java & Spring Boot

DSA Mastery Series

A data structures and algorithms series taking you from Big-O all the way to advanced structures, in Python and Node.js. Runs as long as the material needs — some topics get one post, others get a full breakdown across several. Every post ships sandbox-tested code and real benchmarks, not just theory.

Machine Learning Mastery: From First Principles to Production AI

A comprehensive machine learning curriculum designed to take you from your first model to production AI systems. Learn ML fundamentals, deep learning, MLOps, LLMs, RAG, vector databases, and AI engineering through hands-on projects, real-world examples, and industry best practices.

System Design: From First Server to Internet Scale

Learn system design from beginner to advanced with practical explanations, real-world architecture patterns, scalability concepts, distributed systems, databases, caching, microservices, and production engineering insights.