
Zhi Yew Yee
Java Developer @ Arvato Systems Malaysia
About
I'm a passionate and detail-oriented Computer Science graduate from UMPSA, with hands-on experience in Java full-stack development through a 6-month internship at Arvato Systems Malaysia. I’ve worked on real-world web applications using Spring Boot, Angular, RESTful APIs, PostgreSQL, and Liquibase, while following Agile methodologies and using tools like Git, Postman, GitHub Actions, and JIRA. I’m confident working on both frontend and backend, writing clean and maintainable code, performing unit testing with Mockito, and collaborating in cross-functional teams. I’m also familiar with SQL, CI/CD pipelines, Docker, and basic Linux usage. I also built a multilingual mental health chatbot using GPT-2 and LLaMA-2 for my final year project, exploring AI fine-tuning techniques like SFT and QLoRA. Eager to kickstart my career as a Java Developer, I’m looking to join a supportive team where I can grow my skills, contribute to meaningful projects, and continue learning in a dynamic environment.
Malaysia
Ipoh
Computer Software
JavaSE, Artificial Intelligence (AI), Machine Learning, Deep Learning, Microsoft Azure, RESTful WebServices, Full-Stack Development, Angular, Spring Boot, Java Development, Coding Standards, Debugging, Microsoft 365, Node.js, Cascading Style Sheets (CSS), Game Development, Project Management, Docker, C (Programming Language), ERD
Experience

Java Developer
Federal Territory of Kuala Lumpur, Malaysia
- Contributed to the design, development, maintenance, and enhancement of an internal employee task tracking system. - Using Angular (frontend), Spring Boot (backend), and Git (version control) for full-stack development. - Developed RESTful APIs and validated API functionality using Postman. - Modified database schemas and configurations using PostgreSQL and Liquibase. - Participated in Agile ceremonies, worked on JIRA tasks, provided updates, and collaborated with the project lead and product owner. - Wrote and maintained unit tests using Mockito to ensure code reliability. - Assisted with system deployments using GitHub Actions and participated in debugging and troubleshooting. - Created user guides and technical documentation to assist internal stakeholders. - Completed a structured self-learning phase covering Java, Spring Boot, Java unit testing, Angular, SQL, Python, Linux, and Docker to strengthen technical foundations.
Education

Software Engineering
For my Final Year Project, I developed IMH4U, a mental health chatbot designed to provide empathetic support and guidance. Using Python on Google Colab, I fine-tuned GPT-2 and LLaMA 2 models with curated mental health datasets, applying Supervised Fine-Tuning (SFT) and QLoRA techniques to optimize performance. The GPT-2 version was deployed on Streamlit, while the LLaMA 2 version was hosted on Hugging Face. Both models feature user interfaces built with Gradio and Streamlit, offering flexible interaction options. The project was recognized with the Gold Award in the Final Year Project competition organized by the Faculty of Computing, and earned the Silver Award at UMPSA CITREX 2025, highlighting its innovation and impact.
Zhi Yew Yee's Contact Information
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