Blog
Long-form, implementation-focused content on shipping ML systems that work in the real world. From architecture patterns to deployment strategies.
A realistic forecast of AI's impact by 2030 from someone building it—based on current trends, not sci-fi fantasies.
The complete 12-month playbook from side project to $3k MRR: what worked, what failed spectacularly, and the exact steps you can copy.
AI isn't mysterious wizardry—it's pattern recognition at scale. This guide breaks down how AI actually works using everyday examples anyone can understand.
An opinionated, battle-tested AI infrastructure stack for African founders building reliable ML products under real-world constraints.
A practical roadmap for Nigerian and African ML engineers to go from zero to $3k+ MRR working with international clients.
A step-by-step case study showing how we took a real ML API from constant outages to 99.9% uptime in one month.
An honest journey as a remote ML engineer in Nigeria: infrastructure, payments, trust, revenue milestones, and playbook for going global.
The exact MLOps strategies behind 99.9% uptime: monitoring, blue-green deployments, incident response, and cost optimization.
End-to-end story of building SabiScore: architecture, ensemble models, production challenges, and lessons from serving 350+ users.
An end-to-end look at what makes ML systems truly production-ready, from architecture patterns to monitoring and maintenance.
A practical guide to building ML solutions in the Nigerian context, covering infrastructure, data, and market opportunities.
Deep dive into building and deploying ensemble models with XGBoost, LightGBM, and neural networks for real-world predictions.
Complete guide to building high-performance ML APIs with FastAPI, Redis caching, and production-grade monitoring.
A concise, copy-pasteable checklist for taking a FastAPI app from localhost to a secure, production-ready deployment.
Practical caching patterns using Redis to reduce ML inference latency and cut infrastructure costs for real-world APIs.
Get notified when I publish new deep-dives on ML systems, MLOps, and building AI products in Nigeria.
No spam. Unsubscribe anytime.