Computer engineering · KFUPM

Engineering ideas into working systems.

I’m Abdullah Mohammed Ewidah. I build at the intersection of embedded systems, artificial intelligence, and cloud computing.

Explore my work Get in touch

01 / About

Curious across the whole stack.

Overview

I’m a computer engineering student at King Fahd University of Petroleum and Minerals in Dhahran, Saudi Arabia. My work spans firmware and connected devices, machine learning, and cloud infrastructure. I enjoy turning an idea into a system I can build, test, and improve.

  • Embedded systems
  • Computer vision
  • IoT
  • Cloud computing

Skills

Languages
Python, C, JavaScript, HTML & CSS
Embedded & IoT
ESP32 microcontrollers, IMU sensors, MQTT, FPGA-aware design
AI & data
Computer vision with YOLO, model quantization, TinyML, signal feature extraction
Tools
Git & GitHub, VS Code, AI coding assistants

Education

  1. Expected December 2026

    B.S. in Computer Engineering

    King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia

  2. Senior design · In progress

    Mechanical Health Digital Twin

    Real-time fault detection and predictive health monitoring for mechanical systems.

Expected graduation: December 2026 · Based in the Eastern Province, Saudi Arabia

02 / Selected work

Projects built with purpose.

Search by technology, filter by area, or open a project to read the highlights.

Abstract diagram of data blocks being compressed for edge AI

AI · Edge computing

Completed

YOLO Quantization Framework

A five-stage Python framework for FPGA-aware YOLO quantization and fixed-point hardware simulation, with less than 0.5% degradation compared with the floating-point baseline.

  • Python
  • Computer vision
  • FPGA

Highlights

  • Built a five-stage Python pipeline covering FPGA-aware quantization of a YOLO object detector.
  • Simulated fixed-point hardware arithmetic to check accuracy before committing to an FPGA design.
  • Kept degradation below 0.5% across the reported detection metrics compared with the floating-point baseline.
Abstract sensor signals feeding a digital model of a mechanical system

Senior design · Embedded

In progress

Mechanical Health Digital Twin

A real-time digital twin for mechanical fault detection and predictive health monitoring, combining embedded sensing with data analytics.

  • Embedded sensing
  • Analytics
  • Digital twin

Highlights

  • My senior design project at KFUPM, currently in progress.
  • Pairs embedded sensing on the machine with data analytics on its digital model.
  • Aims to detect mechanical faults early and support predictive health monitoring.
Abstract hand gesture signal connected to an IoT device

TinyML · IoT

Completed

Gesture-Controlled IoT System

A gesture control system using ESP32 microcontrollers, IMU sensing, spectral feature extraction, and MQTT to trigger remote actuator commands.

  • ESP32
  • TinyML
  • MQTT

Highlights

  • ESP32 microcontrollers read hand motion from an IMU sensor.
  • Spectral feature extraction turns raw motion into features a TinyML model can classify on the device.
  • Recognized gestures travel over MQTT to trigger commands on a remote actuator.
Abstract browser window with interface cards and code brackets

Web · Front end

In progress

This Portfolio Website

The site you are reading: hand-written HTML, CSS, and JavaScript with no frameworks or build step, grown across my SWE 363 assignments.

  • HTML
  • CSS
  • JavaScript

Highlights

  • Live project search and filters, data from the GitHub API, and a validated contact form.
  • Light and dark themes, keyboard support, and respect for reduced-motion settings.
  • Built with AI-assisted development; the process is documented in the repository.
View the source on GitHub

Project illustrations are original placeholders. Code links will be added as repositories become ready to share.

03 / On GitHub

Live from my GitHub.

Public repositories loaded straight from the GitHub API, so this list stays current on its own.

    View my full GitHub profile

    04 / Contact

    Let’s start a conversation.

    Have a project, question, or opportunity in mind? Send me a note and I’ll get back to you.

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