Summary
Overview
Education
Skills
Projects
Certification
Languages
Timeline
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Renad Alotaibi

Riyadh

Summary

Software Engineering student with hands-on experience in machine learning pipelines, big data processing, and full-stack/mobile application development (React, Express.js, Flutter). Proficient in Python, PySpark, and SQL, with a strong foundation in software architecture, SDLC, design, and testing. Skilled in AI and NLP, committed to building innovative, data-driven software solutions. Actively seeking a co-op internship to gain practical experience and contribute to impactful software projects.

Overview

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1
Certification

Education

Computer And Information Sciences College - Software Engineering

King Saud University
Riyadh
01-2026

Skills

  • Machine learning and natural language processing (NLP)
  • Data analysis and big data processing (AWS)
  • Full-stack development (React, Nodejs, Flutter)
  • UI/UX design
  • Database management
  • Data structures
  • API integration and Git version control
  • Agile workflow and SDLC management
  • Software architecture and testing

Projects

  • Markaz (مركز) (Oct 2025 – ongoing, Graduation Project) – AI-powered Arabic study tool that enhances learning efficiency by summarizing materials, generating quizzes/flashcards, and providing an Arabic chatbot with personalized feedback. Features include accessibility support (text-to-speech, dyslexia-friendly fonts), and intelligent time management. Technologies: business analysis, MVC, and pipe-and-filter architecture, React.js, Express.js, AraBERT, and ChatGPT API
  • Najm (Feb 2025 – Jun 2025) – AI-powered mobile app for discovering hobbies and hobby-related communities, technologies: Flutter, Firebase, ChatGPT API, Maps API
  • Cloud-based big data analysis: Spark vs. Flink (2024) – processed 26M+ movie records using PySpark and PyFlink on AWS EMR/EC2, built machine learning models for insights, and analyzed system performance to optimize big data workflows
  • Fake news classifier: a machine learning model for detecting and classifying fake news articles using NLP and logistic regression, achieving high accuracy. Technologies: Python, Scikit-learn, Pandas, NumPy
  • LingoHub (Feb 2024 – Jun 2024) – full-stack language learning platform. Technologies: PHP, JavaScript, HTML, CSS, SQL, GitHub

Note: The source code for these projects is available on GitHub, and some repositories are private for configuration reasons.

Certification

  • AI engineer for a data scientist associate, DataCamp, 2025
  • Master Express Framework: Beginner to Advanced, Coursera
  • Big Data 10, Cognitive Class (IBM Developer Skills Network), December 2024
  • HCIA – DATACOM (Huawei Training Program), 5G NCENT / Huawei, Nov 2022

Note: a full list of certifications is available on my LinkedIn profile.

Languages

Arabic
First Language
English
Proficient (C2)
C2

Timeline

Computer And Information Sciences College - Software Engineering

King Saud University
Renad Alotaibi