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Hi, I'mBilend M. Abdullah

I'm a |

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

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A little bit about me

From Design to Intelligence

I'm a Machine Learning and Full-stack Engineer with an MSc in Artificial Intelligence from the University of Surrey, based in Sulaymaniyah, Iraq. My career started with graphic and motion design and evolved into a passion for development. I now do AI and design and build beautiful experiences for the web.

Sulaymaniyah, KRI, Iraq

Quick Stats

7+Years Experience

20+Projects Delivered

15+Technologies

3Countries Worked In

Frontend

React

Next.js

TypeScript

JavaScript

Vue

Tailwind CSS

Backend & AI

Python

PyTorch

Firebase

Tools

Git

Docker

Figma

Currently

Lead Front-End Developer @ iMMAP Inc.

Building the nation-wide Education Management and Information System (EMIS) in collaboration with UNESCO and the Iraqi Ministry of Education.

What I've been up to

2025–Pres.

iMMAP Inc.

Front-End Developer

Lead Front-End Developer for the nation-wide Education Management and Information System (EMIS) project, built in collaboration with UNESCO and the Iraqi Ministry of Education.

2023–2025

Chevening Scholar & MSc AI Graduate

Studied MSc Artificial Intelligence at the University of Surrey as a Chevening Scholar. Dissertation: "An Analysis on the Current State of 4D Generation" — experimentation and analysis of SOTA in 4D research.

2022–2023

Krusche and Company

Advanced Front-end Developer — Informa EBD

Led implementation of new features and resolved critical bugs on the PartneringOne platform, supporting high-stakes international biopharma partnering events.
Utilized React and Redux Saga for a dynamic, responsive UI serving thousands of users.

Cloud Applications Engineer — Amt Vi\u00f6l

Built a digital knowledge platform using Vue for 133 Frisian municipalities, streamlining public funding applications.

Case Study

2018–2022

Moonline Travel and Trade

Web Developer

Built and maintained responsive, multilingual B2B and B2C websites, increasing user engagement by 27% and reducing load times by over 34%.
Developed HANA DB queries for PowerBI, supporting automation and data-driven decision-making.
Managed client API certification, providing documentation and support for successful integration.

Some Projects

CNN Scene Recognition

A ResNet-based Convolutional Neural Network for scene recognition using PyTorch.

CNN Knife Classification

Experiments with various CNN architectures for knife classification using PyTorch.

PhysioNet Challenge 2022

Heart Murmur Detection from Phonocardiogram Recordings.

Vehicle Re-ID System

Vehicle Re-Identification on the VeRi dataset using Transformers & CNNs.