About Me

I'm Ahmad Abdulnasir Shuaib — a software engineer, systems architect, and product builder focused on solving real-world problems with practical, scalable technology.

I work at the intersection of AI, backend engineering, and applied systems design, building tools that don't just look good on paper but actually work in production — often in complex, resource-constrained environments.

Currently, I'm an AI Software Engineer at eHealth Africa, where I help design and build intelligent systems that support healthcare delivery and clinical decision-making at scale. My work often blends machine learning, retrieval-augmented generation (RAG), knowledge graphs, and FastAPI-based services to power tools used by real practitioners, not demos.

What I Do Best

I specialize in end-to-end system building — from idea to deployment.

That means:

Designing clean, scalable backend architectures
Turning messy real-world data into useful intelligence
Building APIs and services that teams can actually maintain
Bridging the gap between AI research ideas and production-ready systems

I'm particularly comfortable working on:

AI-powered platforms (RAG systems, ML inference services, decision support tools)
Backend-heavy applications using FastAPI, Django, NestJS, and Prisma
Multi-tenant systems with complex permissions, roles, and data isolation
Offline-first and sync-enabled applications
Healthcare and public-sector systems, where correctness and trust matter

AI & Applied Intelligence

A big part of my work revolves around making AI useful, not magical.

I've built and worked on:

Clinical decision support systems using national guidelines and standing orders
RAG architectures using vector databases (ChromaDB), Neo4j knowledge graphs, and hybrid retrieval
ML models for scientific and engineering problems (e.g. soil behavior prediction)
Image and media AI pipelines deployed on GPU-backed cloud infrastructure
Structured AI outputs for regulated domains (health, finance, operations)

I care deeply about explainability, guardrails, and system design, especially when AI is used to support human decisions rather than replace them.

Product & Platform Mindset

Beyond code, I think in products and platforms.

I've led or contributed to projects like:

Multi-store e-commerce systems with shared data and offline desktop clients
Full hotel management platforms with access control, asset tracking, and automation
Recruitment and talent platforms with dashboards and analytics
Payment-enabled mobile apps and SaaS backends
Educational platforms for kids, including culturally-focused learning tools

I enjoy shaping systems that are:

Maintainable
Extensible
Human-centered
Built to survive real usage, not just launch day

How I Work

My approach is pragmatic and intentional:

I prefer simple systems that scale over clever ones that break
I document decisions and trade-offs
I'm comfortable navigating ambiguity and incomplete requirements
I collaborate well with designers, product managers, and non-technical stakeholders
I don't chase trends — I adopt tools when they actually solve problems

Whether I'm writing backend code, designing an API, or reviewing an AI pipeline, my goal is always the same: build something reliable, understandable, and useful.

Beyond Work

Outside of my core engineering work, I:

Explore emerging tech in AI, distributed systems, and developer tooling
Build side projects that test new ideas
Mentor and share knowledge where I can
Think a lot about how technology can work better in developing contexts

Let's Build Something That Matters

If you're looking for someone who can:

Own complex technical systems
Translate ideas into working products
Build AI responsibly and practically
Think long-term about architecture and impact

Then we'll probably get along just fine.