Summary
Overview
Work History
Education
Skills
Projects
Qualifications
Languages
Certification
Soft Skills
Timeline
Generic

Louay Abrame

Al-Ahsa

Summary

I am a Computer Science graduate from King Faisal University, with a GPA of 4.61 out of 5.0. Throughout my academic and internship experiences, I've developed strong skills in full-stack development, machine learning, and cybersecurity. I’ve worked on building web applications using technologies like Next.js, Laravel, and Docker, and I have contributed to research on ML-enhanced intrusion detection systems. I'm proficient in Python, PHP, and various modern tools.

Overview

1
1
year of professional experience
1
1
Certification

Work History

Undergraduate Research Assistant

King Faisal University
07.2024 - 03.2025
  • Contributed to the ML-based Snort IDS project, leveraging the NSL-KDD and CICDDoS2019 datasets.
  • Evaluated machine learning models (Decision Tree, Random Forest, SVM), and analyzed results.
  • Conducted literature reviews to support ongoing research projects and findings.
  • Facilitated lab experiments under the guidance of senior researchers and professors.
  • Collaborated with team members to design and implement research methodologies.
  • Prepared presentations to communicate research progress to faculty and peers.
  • Engaged in weekly meetings to discuss project updates and share insights with the team.

Software Engineer Intern

Ejarly
01.2024 - 12.2024
  • Developed a full-stack app using Next.js and Laravel
  • Designed RESTful APIs, implemented CRUD operations, and containerized deployment with Docker
  • Collaborated with cross functional team using Git version control
  • Assisted in the design and implementation of user interfaces for web applications.
  • Participated in daily stand up meetings to discuss project updates and challenges.
  • Tested software components to identify bugs and improve overall performance.
  • Integrated third party APIs to enhance application functionalities and user experience.

Education

Bachelor of Science - Computer Science

King Faisal University
Al-Ahsa, Saudi Arabia
07.2025

Skills

  • Frontend: Reactjs, Nextjs, Tailwind CSS
  • Machine learning
  • Backend: Laravel, Nodejs (basic), MySQL
  • ML tools: scikit-learn, TensorFlow, Keras
  • DevOps: Docker, Git, and GitHub
  • Security: Snort IDS, Wireshark, Kali Linux
  • Programming languages: Python, PHP, C,JavaScript
  • Operating systems: Ubuntu, Windows

Projects

  • Hotel Reservation System
    Developed a full stack hotel booking system with user authentication, room availability tracking, and dynamic pricing logic.
  • Diabetes Prediction Model
    Built a machine learning model to classify individuals as Type 1, Type 2, or pre-diabetic using health-related metrics. Implemented using scikit-learn.
  • Depression Clustering Model
    Applied unsupervised learning techniques ( K-Means) to cluster mental health data for early detection of depression patterns.
  • AI Attendance System using Face Recognition
    Created a real-time facial recognition attendance system using OpenCV and deep learning to automate identity verification in classrooms or workplaces.
  • Clothes Type Classification with CNN
    Designed and trained a Convolutional Neural Network (CNN) model to classify clothing items into predefined categories based on image data.
  • Research Project ML Based Intrusion Detection System
    Explored and simulated DoS and DDoS attacks in a virtual lab and evaluated an ML enhanced Snort IDS using NSL-KDD and CICDDoS2019 datasets. Achieved improved detection accuracy and reduced false positives.

Qualifications

  • B.Sc. in Computer Science, King Faisal University (2020 – 2025)
  • IELTS (Academic): Overall 6.5 – British Council, June 2025

Languages

English
Professional
Arabic
Native/ Bilingual

Certification

  • Endpoint Security by Cisco
  • Cyber Threat Management by Cisco
  • Developers zone 3 by ministry of communications and information Technology of sauid arabia
  • Java Script Essential Initiative by Cisco
  • android Development Track by Udacity

Soft Skills

  • Problem-solving
  • Critical thinking
  • Communication
  • Teamwork
  • Research planning
  • Attention to detail
  • Scientific writing
  • Adaptability

Timeline

Undergraduate Research Assistant

King Faisal University
07.2024 - 03.2025

Software Engineer Intern

Ejarly
01.2024 - 12.2024

Bachelor of Science - Computer Science

King Faisal University
Louay Abrame
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