Aida Sophea binti Mohd Zaki
Final year CS (Software Engineering) undergrad, Universiti Malaya; Perodua Plant IT intern
Contact
- Email aiidasophea@gmail.com
- Phone +601****9100
Summary
Computer science undergraduate (Software Engineering, Universiti Malaya, CGPA 3.52, Dean's List) with full-stack, machine learning and QA experience. Strongest proof: an AI dengue detection FYP with 85%+ prediction accuracy and a TikTok trend ML model at 91% accuracy, backed by 168+ formal test cases.
AI-generated from CV
Skills
Languages
- Java
- Python
- JavaScript
- HTML/CSS
- PHP
- SQL
Frameworks
- React.js
- Next.js
- React Native
- Node.js
- Spring Boot
- Flask
- Streamlit
- TensorFlow
- YOLOv8
Tools
- Firebase
- Docker
- GitHub
- VS Code
- Oracle SQL
- MongoDB
- Packet Tracer
- Android Studio
Education
-
University of Malaya, Kuala Lumpur
Bachelor of Computer Science (Software Engineering)
CGPA 3.52 October 2022 - February 2026
-
Bildungskolleg Schumann, Munich, Germany
German language B2
April 2022 - October 2022
-
German-Malaysian Institute, Selangor
A-Level (Engineering), 1A 1B 1C (MUET Band 4)
July 2020 - January 2021
-
Maktab Rendah Sains Mara, Kuala Kubu Bahru, Selangor
SPM: 1A+, 5A, 2B+, 1B
January 2015 - December 2019
Highlights
- Perodua Plant IT intern (March-August 2026), full-stack dev, ML and software testing exposure
- Final year project: AI dengue outbreak prediction from drone imagery with over 85% accuracy, 168 test cases across 25.
- Built ML models predicting TikTok viral trends at 91% accuracy over 600+ scraped video features
- Dean's List Semesters 3 and 5; Programming League National 2024 preliminary round
Spoken languages
- Malay (Native Proficiency)
- English (Professional Proficiency)
- German (Upper-Intermediate)