Available for work

Building
products
that matter.

Software developer specializing in scalable apps, clean code, and interfaces that feel inevitable.

Open to Roles
// current status
const profile = {
  name: "Abdul Basit Ali",
  role: "Software Developer",
  stack: ["Next.js", "PostgreSQL", "Tailwind CSS"],
  focus: "clean, scalable apps",
  available: true
}
1.5+Years Exp.
10Projects
4Clients
Next.jsReactNode.jsPostgreSQLTailwind CSSTypeScriptPythonDockerNext.jsReactNode.jsPostgreSQLTailwind CSSTypeScriptPythonDocker

Minimalist by syntax,
maximalist by impact.

I'm a software developer with 1.5+ years turning complex ideas into intuitive, high-performing user experiences. I care deeply about clean, maintainable code, scalable apps, and pixel-perfect design — in that order.

Currently open to frontend and full-stack roles or projects at product-focused companies.

Get In Touch
Philosophy
Good software feels effortless. When the experience is smooth, users never notice the complexity underneath.
Approach
Design systems first, write code second. The architecture is the product — everything else follows.
Currently
Exploring frontend architecture skills, contributing to open source, and writing about UI and engineering trade-offs.

Skills

Tools of
the trade.

Next.js / React
TypeScript / JavaScript
Tailwind CSS / CSS Modules
PostgreSQL
Node.js
Electron
Git / GitHub
Testing (Jest / RTL)
Performance & Accessibility

Work

Selected
projects.

01
POS Waiter Companion App
Built a mobile waiter companion app designed to sync seamlessly with a primary POS system. Built with Expo framework, the application features a clean, beginner-friendly UI and modern design elements to enhance operational efficiency.
02
Point of Sale Software
Built a Point of Sale (POS) system using Next.js, packaged within an Electron container. This architecture delivers a standalone desktop application with a zero-dependency installer, ensuring a frictionless setup experience for end users.
03
Face Mask Classifier
Built a computer vision software in Python utilizing the MobileNetV2 architecture. The model was trained on a dataset of approximately 10,000 images to classify them into three distinct categories: with mask, without mask, and incorrectly worn mask.

Writing

Thoughts on
development.

Read All

Contact

Let's build
something.

Got a project to discuss, a collaboration in mind, or just want to connect? I'd love to hear about it.

basitalitech@proton.me