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Esra Halboup

Computer Science Student | Network Technology

Passionate about creating innovative technology solutions that solve real-world problems. Specializing in Network with hands-on experience in AI-powered applications, web development, application development and penetration testing.

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About Me

I'm a passionate Computer Science student at Universiti Kebangsaan Malaysia (UKM), specializing in Network Technology. I’m deeply interested in building intelligent, secure, and efficient systems that connect people and devices safely across the digital world.

I’m skilled in HTML, CSS, JavaScript, Kotlin, Python, Java, C, SQL, Wireshark, and Cisco technologies, with a growing interest in deep learning, ethical hacking, and edge computing. My goal is to advance cybersecurity and intelligent system design while contributing to solutions that make technology more trustworthy and human-centered.

4+ Major Projects
2 Certificates
3 Languages

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Technical Skills

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Programming Languages

Python Java C SQL JavaScript HTML CSS Kotlin Wireshark CISCO
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Frameworks & Technologies

VS Studio MySQL VM GitHub Google Colab OpenCV eclipse IDE Apache Netbeans
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Cybersecurity

Web penetration testing Risk Assessment
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Leadership & Management

Team Leadership Project Management Critical Thinking Problem Solving

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Featured Projects

Phishing URL

Mobile App

An Android application that detects phishing URLs and QR codes using on-device machine learning, while securely storing scan history locally and in the cloud to enhance digital literacy and cybersecurity awareness.

Firebase Kotlin Android Studio Jetpack Compose

Bread Maker Ordering System

Web Application

Developed a full-stack web-based ordering system for managing bread maker products, customers, staff, and orders. The system includes secure authentication with role-based access control, dynamic product management, and an enhanced user interface using Bootstrap and jQuery. Focused on usability, data integrity, and modular PHP design.

PHP MySQL Bootstrap jQuery DataTables Web Security

Privacy-Preserving Driver Drowsiness Detection

AI System

Built a real-time driver drowsiness detection system using a privacy-first client–server approach. The system extracts facial landmarks locally and sends only compact numerical features to the server, avoiding raw image transmission. A hybrid framework combines rule-based microsleep detection with a BiLSTM model to analyze temporal facial behavior.

Python PyTorch MediaPipe BiLSTM Edge AI

Enterprise Network Design

Networks Engineering

Designed an improved enterprise network by replacing a flat architecture with VLAN-based segmentation to reduce broadcast traffic. Implemented trunking, STP, and Router-on-a-Stick to enable secure inter-VLAN routing, improve performance, and enhance network reliability.

VLANs STP Trunking Inter-VLAN Routing DHCP CCNA

Saher Camera Detection System

Mobile App

Android application developed in Kotlin (Jetpack Compose) that alerts drivers to nearby Saher traffic cameras using GPS and sensor data. Designed for speed awareness and safer driving habits.

Kotlin Android Studio Google Maps API Jetpack Compose

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Education & Certifications

Bachelor of Computer Science (Honours)

UKM

Network Technology

Professional Certifications

CS50

Harvard Universiti

CCNA

CISCO

IELTS Certification

IDP Education Ltd

Languages

English

Professional Working Proficiency

Arabic

Native Speaker

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Get In Touch

I'm always open to discussing new opportunities, innovative projects, or cybersecurity challenges. Let's connect and explore how we can work together!