Next.js 15
MedOS AI
Serverless-first, AI-augmented Hospital Management System on Next.js 15 + Supabase. Enforces RBAC at the middleware layer, includes an AI Triage Engine using the MEWS algorithm, and logs every write to an immutable audit trail.
<Software + AI Engineer /> Building resourceful applications and software powered with AI for effectiveness and a seamless experience.

const me = {
name: "Adekunle AbdulMuheez",
role: "Software + AI Engineer",
base: "Lagos, NG",
stack: ["Next.js", "FastAPI", "LangChain"],
};➜ whoami
I'm a Software & AI Engineer who builds AI-powered solutions — resourceful applications and software designed for effectiveness and a seamless user experience.
➜ cat mission.txt
Currently focused on serverless full-stack architectures, RAG systems, agentic workflows (LangGraph, CrewAI), and shipping AI features into real products across health, education, and business analytics.
3+
years
15+
shipped
Lagos
Nigeria
∞
ml
// frontend
// backend
// ai / ml
Designing and shipping AI-powered web platforms — from RAG analytics systems to AI-augmented healthcare tools. Building with Next.js, FastAPI, LangChain, LangGraph, and CrewAI across multi-tenant production deployments.
Built end-to-end web applications for SMEs and early-stage startups — React frontends, Node.js APIs, and Postgres data layers. Delivered admin dashboards, learning platforms, and lightweight SaaS tools.
Initial Commit (Hello World)
Next.js 15
Serverless-first, AI-augmented Hospital Management System on Next.js 15 + Supabase. Enforces RBAC at the middleware layer, includes an AI Triage Engine using the MEWS algorithm, and logs every write to an immutable audit trail.
FastAPI
A curated technical learning platform helping developers and students discover, organize, and track high-quality educational video content. Dependency-free frontend with a scalable FastAPI backend, custom playlists, and personalized recommendations.
RAG
A multi-tenant analytics and RAG platform that turns raw business data into searchable AI insights. Automates ingestion, cleaning, embeddings, and vector search to deliver fast, intelligent answers for SMEs and enterprise.
Notes from production: how I structure multi-step agent flows, route tools, and ground answers in tenant-scoped vector stores.
Lessons from MedOS AI on combining clinical scoring, RBAC, and immutable audit logging in a serverless-first Next.js stack.
{
"status": "open_to_work",
"email": "adextechhub@gmail.com",
"socials": {
"github": "@devadex247",
"linkedin": "@adekunleabdulmuheez",
"twitter": "@a_abdulmuheez"
},
"location": "Lagos, Nigeria"
}