Available for work

Hi, I'mBilend M. Abdullah

I'm a AI Engineer & Full-Stack Developer

Building intelligent, beautiful web experiences at the intersection of AI and design. MSc AI graduate & Chevening Scholar.

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About Me

I Ship End-to-End

I'm an AI and Full-Stack Engineer with an MSc in Artificial Intelligence from the University of Surrey, based in Galway, Ireland. My career started with graphic and motion design and evolved into a passion for development.

I now build intelligent, beautiful web experiences at the intersection of AI and design — whether that's training a CNN on PyTorch or crafting a pixel-perfect React interface.

Galway, Ireland

Years Experience

70+

Projects Delivered

15+

Technologies

Countries Worked In

Frontend

React

Next.js

TypeScript

JavaScript

Vue

Tailwind CSS

Backend & AI

Python

PyTorch

Firebase

Tools

Git

Docker

Figma

Experience

What I've been up to

iMMAP Inc.

2025–2026

Front-End Developer

Led front-end development on the nationwide Education Management Information System (EMIS).
Architected the front-end from the ground up, designing the page structures, state management, and routing for an entirely new application used nationwide by the Ministry, Governorates, teachers, and schools.
Built and extended a reusable component library, improving UI consistency and accelerating the team’s development timeline.
Set up an automated testing pipeline from scratch, embedding QA into the development workflow and improving the reliability of every release.
Rapidly triaged and resolved feedback from internal QA and external testing by the Ministry of Education, shortening testing cycles and strengthening trust with stakeholders.
Represented the front-end team in bi-weekly progress meetings with UNESCO and MoE, contributing to iteration planning and feature scoping.

Front-End Developer

Led front-end development on the nationwide Education Management Information System (EMIS).
Architected the front-end from the ground up, designing the page structures, state management, and routing for an entirely new application used nationwide by the Ministry, Governorates, teachers, and schools.
Built and extended a reusable component library, improving UI consistency and accelerating the team’s development timeline.
Set up an automated testing pipeline from scratch, embedding QA into the development workflow and improving the reliability of every release.
Rapidly triaged and resolved feedback from internal QA and external testing by the Ministry of Education, shortening testing cycles and strengthening trust with stakeholders.
Represented the front-end team in bi-weekly progress meetings with UNESCO and MoE, contributing to iteration planning and feature scoping.

Selected Work

Some Projects

ML / AI

CNN Scene Recognition

ResNet-based scene classifier trained in PyTorch, with TensorBoard-tracked experiments across training runs.

ML / AI

CNN Knife Classification

Benchmarked multiple CNN architectures on a knife-classification task to compare accuracy against model complexity.

ML / AI

PhysioNet Challenge 2022

Heart-murmur detection from phonocardiogram recordings for the PhysioNet 2022 challenge — feature engineering plus model ensembling.

ML / AI

Vehicle Re-ID System

Vehicle re-identification on the VeRi dataset, combining Transformer attention with CNN feature extraction.

WebUX/UI Case Study

Samleys

Cosmetics storefront designed and built end-to-end — Next.js frontend, self-hosted on Hetzner with Coolify and Cloudflare, independent of any e-commerce platform.

Read case study

WebUX/UI Case Study

Lantana

Company site for an agriculture & landscaping business — Payload CMS content model so the team publishes without a developer, on a Next.js frontend.

Read case study

UX/UI Case Study

We Care

UX/UI design for a caregiver-hiring app — ~40 screens per language across English, Kurdish, and Arabic (RTL), from caregiver discovery to a live-priced booking flow.

Read case study

Web

Invoice App

Invoice management app with realtime data — create, track and filter invoices without a reload, built on Vue and Firebase.

UX/UI Case Study

To U Delivery

UX/UI for a delivery ecosystem — the admin dashboard, business app, and driver app designed as one system: ops tables and distance pricing on one side, a map-first ordering flow on the other.

Read case study