Resume

Slaw! I'm

Bilend M. Abdullah

A Full-Stack Developer and Machine Learning Engineer who does UX/UI on the side

I'm a Full-stack Developer specializing in Front-end Development with an MSc in Artificial Intelligence from the University of Surrey. My career started with graphic design and evolved into a passion for development. I now design and build beautiful experiences for the web.

A little bit about me

Tech I'm using
ReactNextTypescript
PythonPytorchVue
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Tech enthusiast with a passion for development.

What I've been Up to

2023-2024

Chevening Scholar and MSc AI Student

University of Surrey LogoChevening Logo

Studied MSc Artificial Intelligence at the University of Surrey as a Chevening Scholar. My dissertation was titled "An Analysis on the current state of 4D Generation" and it envolved the experimentation and analaysis of the current SOTA in 4D Research.

2022-2023

Worked at Krusche and Company

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Advanced Front-end Deveoper - Informa EBD

Worked as a Front-end Engineer for Informa EBD's group PartneringOne platform where I:

  • Led the implementation of new features and resolved critical bugs, ensuring the platform's stability and functionality, which directly supported high-stakes international biopharma partnering events.
  • Utilized React and Redux Saga to develop and maintain a dynamic and responsive user interface, contributing to an improved user experience for thousands of platform users.

Cloud Applications Engineer - Amt Viöl

  • Utilized Vue to develop and implement a digital knowledge platform for 133 Frisian municipalities in Germany, streamlining the complex process of applying for public funding.
Case Study

2018-2022

Worked at Moonline Travel and Trade

Chevening Logo

Web Developer

Worked as a Web Developer for Moonline Travel and Trade, Kurdistan's Leading Travel agency for over 4 years. I:

  • 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 the company’s automation process and enabling data-driven decision-making.
  • Managed client API certification, providing documentation and support, ensuring successful integration and implementation.

Some Projects

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CNN Scene Recognition

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

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CNN Knife Classification

Experiments with various CNN architectures for knife classification using PyTorch.

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PhysioNet Challenge 2022

Heart Murmur Detection from Phonocardiogram Recordings.

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Vehicle Re-ID System

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

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