MIAENG · FUTMinna, Mechatronics Engineering · 5.0 GPA
I build production systems — not demos. From AI-powered LMS platforms running on AWS to fault-tolerant data pipelines serving enterprise clients, I ship software that people depend on. Based in Minna, Nigeria. 17 years old.
I'm a systems engineer and full-stack developer who happens to be studying Mechatronics at FUTMinna. I build at the intersection of backend infrastructure, AI integration, and education — not because it's trendy, but because I've lived the problem firsthand.
Nu Age started because I watched my peers juggle PDFs, WhatsApp groups, and broken portals to get through their courses. I built the LMS I wished existed — designed it, architected the database, provisioned the AWS server, integrated the AI, and shipped it to real users in active beta. That's the pattern: see a real problem, build a real solution.
Outside of software, I run BuildHub — a free hardware engineering community at FUTMinna. I carry responsibility for people, not just code.
A full-stack, AI-powered Learning Management System built to eliminate the fragmentation of education in low-infrastructure environments. Unified course delivery, AI tutoring, real-time chat, live leaderboards, and automated certificate generation — all in one platform. Provisioned and managed on AWS EC2, with a Flet cross-platform frontend and PostgreSQL backend. 30+ active beta testers.
AI knowledge engine connecting NASA's Open Science Data Repository with natural language search. Built the FastAPI backend and NASA OSDR integration; implemented Mistral-7B inference via Ollama to generate research insights from space biology datasets.
Dual-solution sustainable agriculture framework (YieldHorizon + FarmLink) combining AI, IoT, and blockchain. Designed an LSTM rainfall prediction model and built the TerraSense Soil Probe IoT prototype in Proteus simulation software.
Async Python pipeline processing 10,000+ records — transforms raw exam PDFs into precise LMS-ready question bank schemas via GitHub Actions and n8n. v2 adds fill-in-the-gaps, hotspot simulations, matching, ordering, and short-answer types.
Full-featured personal finance desktop application for logging, tracking, and visualising expenses. Built with Python Tkinter, MongoDB for persistent storage, and Matplotlib for dynamic expense breakdown charts.
Open to internships,
contracts & collabs.
I'm a 17-year-old engineer with production systems live. If you're building something that needs a backend, data pipeline, or AI integration — let's talk.