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I am
Derrick Jong.
→ Currently finishing my Computer Science degree.
→ Passionate about building cool & scalable systems.
→ Exploring ML and AI-driven applications.
/about me
Hello! I am currently a final-year CS student at Swinburne Sarawak, where I pursue my interest for software development and artificial intelligence. I have hands-on experience in full-stack development, app development, machine learning, and cloud computing.
Currently, I am focused on building scalable applications and diving deeper into AI-driven solutions. I like writing clean, efficient code and creating applications that make a real difference. I am excited to collaborate on interesting projects and connect with fellow developers! ツ
When I am not coding, you can find me exploring new technologies, or learning about the latest developments in software and AI. Outside of work, I enjoy playing video games, watching movies, gym, and playing sports like badminton or pickleball.
/experience
Software Engineer Intern @ LogikHaus
December 2024 - February 2025
- ▹Revamped the company website, including both frontend design and backend functionalities.
- ▹Redesigned and implemented the Home page, the Store page, the Contact Us page and the Education page.
- ▹Developed the website's payment system by liaising with HitPay to perform the integration via their API.
- ▹Developed the login/register system for the website, including the implementation of a database. I also implemented a Admin Database UI where admins can monitor and manage the database tables, including users, products, and orders
- ▹Configured the company's Lighttpd Webserver on Linux to support PHP script execution, and facilitate the handling of HTTP requests for the payment system.
/skills
/projects
Personal site built with Next.js, Tailwind CSS, animated UI experiments, and responsive design.
Building a web application that allows users to visualise environmental data in Sarawak.
Trained a few models to detect and classify different types of car models in Malaysia.
Developed a system where the models can predict a shortest route from Point A to Point B at a given time.
CI/CD pipeline with containerization, automated tests, and deployment scripts.