Data & AI
- AI-assisted coding workflows
- Debugging
- Prototyping
- Problem-solving
Co-op Trainee at Riyadh Air
Sultan Al-Zehairi
Data & AI Developer Software Development
Computer Science graduate working in data and artificial intelligence, turning data into useful decisions. Alongside that I build iOS and web applications, and share the journey along the way.
6
Programming languages
97%
Model validation accuracy
2
Flagship projects
2026
Graduation year
About
Working in data and artificial intelligence
Computer Science graduate from Al-Imam Mohammad Ibn Saud Islamic University, starting a career path in Data and Artificial Intelligence.
I am currently completing a co-op training at Riyadh Air with the Data & AI Team, applying my foundation in programming, databases, and software engineering principles to real data problems, backed by hands-on experience with AI-assisted development workflows.
Outside the editor, I share tech content across my platforms: projects, quick ideas, and a little bit of everything.
Timeline
-
2021 - 2026
BSc in Computer Science
Al-Imam Mohammad Ibn Saud Islamic University, Riyadh
-
2026
Tuwaiq Academy
Built Mudaris, an AI-powered study platform
-
2026 - Present
Co-op Trainee at Riyadh Air
Data & AI Team
CurrentlyCo-op trainee, Data & AI Team at Riyadh Air
EducationBSc Computer Science, Al-Imam Mohammad Ibn Saud Islamic University
LocationRiyadh, Saudi Arabia
FocusData & AI first, application development second
LanguagesArabic (Native) · English (Fluent)
Skills
The tools I build with
The stack I reach for when building applications and AI-driven features.
Databases
- SQL
- MySQL
- MongoDB
Programming languages
- Java
- Python
- JavaScript
- PHP
- Swift
- Dart
Mobile development
- Flutter
- Dart
- SwiftUI
- iOS
- Core ML
- HealthKit
Web development
- HTML
- CSS
- JavaScript
- React
- Node.js
- Full-stack fundamentals
Tools & platforms
- Git
- GitHub
- Xcode
- VS Code
Work
Projects I have built
Things I took from an idea to a working product, from machine learning models to the interfaces around them.
Graduation project
PCPS: Pancreatic Cancer Prediction System
iOS ML-based health risk prediction app · 01/2026 to 06/2026
An iOS app that predicts pancreatic cancer risk by combining Apple Watch HealthKit data with user-reported symptoms through a Core ML classifier reaching 97% validation accuracy. Built with Swift, SwiftUI, and MVVM architecture, featuring both a patient interface and a clinician dashboard, with all processing kept on-device for full data privacy.
- Swift
- SwiftUI
- Core ML
- HealthKit
- MVVM
- On-device
Tuwaiq Academy
Mudaris: AI-Powered Study Assistant
Bilingual AI study platform · 05/2026
A bilingual study platform where students organise each subject as a course containing chapters, lecture recordings, tutorials, and past exam questions. Features an AI subject-specific coach for Q&A, AI-generated quizzes, midterms, and finals tailored to the course content, plus smart flashcards for spaced-repetition review.
- AI
- LLM
- Bilingual
- Quiz generation
- Spaced repetition
Links
Where to find me
Tech, projects, content, and a little bit of everything. Follow along wherever suits you.
Contact
Got an idea or an opportunity?
A project, a collaboration, or just a question? Send it over and I will get back to you shortly.