I'm a backend developer currently expanding my skills into machine learning and agentic coding. My goal is to become a well-rounded full-stack developer who can be counted on by teammates. I enjoy learning new technologies and tackling challenges, especially when working under pressure. What drives me most is the opportunity to grow through hands-on projects, particularly in web development and agentic systems. I believe my adaptability and communication skills help me contribute meaningfully to any team I work with.
Skills
Frontend
HTML
CSS
JavaScript
TypeScript
PHP
Backend
NodeJS
TypeScript
C#
AdonisJS
.NET Framework
Tools & Technologies
Unity
Machine Learning
Selenium IDE
Education
Bachelor in Computer Science (Computer Graphic & Multimedia Software)
University: Universiti Teknologi Malaysia
Duration: September 2019 to September 2023
GPA: 3.32
- Developed an application that can detect road cracks and pothole with 70-90% accuracy using Deep Convolutional Neural Network(DCNN) machine learning, helping civil engineers save time by sending out drones to check roads
- Developed a soccer game with horror theme, leading a team and assigning tasks based on individual strengths
Experiences
Software Programmer - AccountSoft Sdn Bhd
Duration: September 2025 - Current
- Developed plug-ins for the AutoCount application using C# with .NET framework with AutoCount API. Additionally, fixing and updating legacy projects are also part of the responsibilities.
- Helped interns on how to familiarize with the AutoCount API and .NET framework.
Junior Software Engineer - Impact Business Solution
Duration: December 2023 - November 2024
- Developed the backend for HR management web application serving 500+ employees using NodeJS, Typescript with AdonisJS framework
- Automated 20+ functionality tests using Selenium IDE to determine application speed, resulting in significant time savings
- Introduced AdonisJS built-in functions to the team, establishing code quality standards and improving development consistency
- Learned conventional commits when using Git. Provides clarity to future developer when re-assessing the codebase.
Projects
Road Crack Detection System
Technology: Machine Learning, DCNN
- Developed application with 70-90% accuracy for detecting road cracks and potholes
- Helped civil engineers save time by enabling drone-based road inspections
- Processed road images to detect cracks and potholes automatically
Horror Soccer Game
Technology: Unity
- Implemented proper physics for ball movement and player interactions
- Added basic animation systems
- Led a team project, assigning tasks based on individual strengths
Contact
Address: No.55, Lorong 1, Green Acres Estate, Jalan Matang Batu Kawa, Kuching, 93250, Sarawak
Email: aaronryan0505.ar@gmail.com
Phone: 010-9290630
GitHub: CommanderThrow
References
Mohamad Zulhaimie Bin Bujang
Position: Software Developer
Phone: 014-598 7839
Email: admin@zulhaimiebujang.com