Kabiru Shaibu

Frontend-focused Full-Stack Product Engineer. I design and ship accessible SaaS and Web3 products with production quality and scale in mind.

Specializing in TypeScript, React, Next.js, Node.js, Python, Supabase and Solana — owning the path from product idea to reliable release.

React
Next.js
TypeScript
JavaScript
Node.js
Express
MongoDB
PostgreSQL
Tailwind CSS
Docker
Git
Python
Redux
GraphQL
React
Next.js
TypeScript
JavaScript
Node.js
Express
MongoDB
PostgreSQL
Tailwind CSS
Docker
Git
Python
Redux
GraphQL

About

Product thinkingmeets engineering craft.

Building reliable, user-friendly software that solves real business problems.

profile.json
{
"name": "Kabiru Shaibu",
"role": "Full-stack product engineer",
"focus": "Reliable, user-friendly software that solves real business problems and remains maintainable as products grow",
"builds": ["Customer-facing SaaS products", "Internal operational tools"],
"stack": ["React", "TypeScript", "Node.js", "PostgreSQL", "Modern cloud technologies"],
"recentWork": ["Loyalty infrastructure", "Prediction platforms", "Secure dashboards", "Workflow automation"]
}
philosophy.ts
//I balance delivery speed with security, usability, and long-term maintainability.
//I use AI-assisted development to improve planning, implementation, debugging, and documentation without replacing careful engineering judgement.

How I Work

I take ownership from product discovery and architecture through implementation, testing, deployment, and continuous improvement. I collaborate closely with stakeholders and engineering teams to turn business requirements into practical, scalable solutions.

What I Value

Clarity, ownership, and honest trade-offs. I prefer simple systems that teams can reason about, feedback that improves the product, and collaboration that keeps users and business outcomes at the centre of every decision.

Where I Thrive

I do my best work where product thinking meets engineering craft — cross-functional teams, real users, and systems that need to stay reliable as they grow. I enjoy turning ambiguity into shipped, well-structured software.

Skills

Core strengthsand working knowledge.

Across frontend, backend, database & cloud, AI & automation, Web3, and tools & workflow.

//Core strengths
export const core = ["React", "TypeScript", "Next.js", "JavaScript", "Tailwind CSS", "Accessibility", "Component architecture", "HTML5", "CSS3", "SASS", "Redux Toolkit", "Framer Motion", "Mobile-first UI"];
//Working knowledge
export const workingKnowledge = ["Bootstrap", "Angular", "Svelte"];
summary.ts
//Current capability: Frontend
//Accessible interfaces and product-quality UX
//I ship production UIs with React and TypeScript — clear component architecture, accessibility, and performance that holds up beyond demos.
export const focus = [
"Responsive layouts for desktop, tablet and mobile",
"Reusable, typed UI components",
"Accessibility and interaction polish",
];

Portfolio

Real product problems,production architecture.

Flagship work across Web3 loyalty systems, prediction markets and marketplace products.

projects/
stayloyal.xyz
Stay Loyal screenshot

Stay Loyal

NFT communities struggle to retain holders beyond short-term hype. Stay Loyal is a Solana loyalty engine that turns staking and engagement into on-chain reputation and XP, with wallet authentication and Supabase/PostgreSQL-backed data using Metaplex tooling.

stack: ["Solana", "TypeScript", "Supabase", "PostgreSQL", "Metaplex"]

Design

Color, type& visual systems.

The visual system behind every screen in this portfolio — decided once, then reused everywhere instead of re-invented per page.

//analogous: teal + sky + green
:root {
--primary:#2DD4BF;
--secondary:#38BDF8;
--accent:#4ADE80;
--surface:#0B1324;
--text:#E6FFFA;
}
preview.tsx
text / surface17.70:1AAA
button / primary9.96:1AAA

Color

One disciplined accent against deep neutral surfaces. Every screen — hero, cards, buttons, focus states — pulls from the same seven tokens, so mood and contrast stay predictable at every depth.

Typography

A display face for identity, a body face for reading. Size, weight and letter-spacing carry meaning — eyebrows stay quiet, headings carry the weight, body copy stays calm.

Layout

Two container widths run the whole site — a wider band for the hero and nav, a narrower one for reading content — so the eye always knows where a page “ends.”

Spacing

A predictable scale — 4px steps compounding into 8/12/16/24/32/48/64 — instead of arbitrary pixel values, so padding and gaps never fight each other.

Visual Hierarchy

Every block reads top-down: label, then headline, then supporting copy, then a single action — never more than one loud element competing for attention.

Visual Consistency

The same button, card and focus-ring primitives are reused from the hero to the footer — a new section adopts the existing system instead of inventing its own.

What I Design

The same six principles, applied to the assets a brand or launch actually needs.

Landing Page

Hero, proof, feature breakdown, pricing and one clear call to action — built to convert, not just to look good.

Logo

Type-driven and mark-based systems, built to hold up at favicon size and on a hero banner alike.

Pitch Deck

A clear narrative arc, one idea per slide, one consistent grid and type system across every page.

Social Graphic

On-brand graphics sized for the platform they live on, sharing colour and type with the product they promote.

Marketing

Landing sections, email headers and ad creative that read as one brand with the product behind them.

AI Engineering

AI-assisted,engineer-owned.

How I use AI to design, build and operate real systems, not just prompt a chatbot.

# ADR: AI in the loop
status: accepted
## Context

AI can speed up delivery, but it produces plausible output that can be wrong, insecure or hard to maintain.

Model output and tool input are treated as untrusted until proven otherwise.

boundaries.ts
export const boundaries = {
//Where AI is trusted
ai: "drafts, explores options, writes tests and docs, reviews diffs",
//What gates every change before it ships
gates: "types, tests, linting, code review",
//Where a human owns the decision
human: "anything security-sensitive, data-related, architectural or hard to reverse",
//What the model gets to see
context: "the right files, constraints and prior decisions — not the whole repo",
//What the model gets to do
tools: "a small, well-typed set of actions — not open-ended shell access",
};

Problem first

Define the problem before the solution: who it is for, what done looks like, and what must not break.

Built for change

I prefer simple systems that teams can reason about. The next change matters more than a clever first version.

Explicit trade-offs

Every choice trades something off. I name the trade-off and write it down, so the next person knows why, not just what.

Designed for failure

Timeouts, retries, fallbacks — an LLM call is a network call that can fail. Output quality is measured against real examples, not vibes.

Contact

Open to roles.Let's talk.

Where strong frontend craft meets full-stack product ownership.

message.ts
contact.json
{
"location": "Tallinn, Estonia",
"github": "kabornblack"
}