🎓 GDipSA student at NUS | 🧾 Former Finance Professional | 💻 Aspiring Software Engineer

• Languages: Python, SQL, Java, ASP.NET, Kotlin
• Frameworks: Spring Boot, Thymeleaf, React, Android Studio, Dropwizard
• Tools: GitHub, Git, Maven, Docker, CI/CD (GitHub Actions)
• Domains: Finance, Machine Learning (PyTorch), Backend Development, Cloud, System Design

A full-stack shopping cart system with admin dashboard, user order tracking, product filtering, and secure checkout.

A deep learning model that classifies fruits into apples, bananas, oranges, or others using convolutional neural networks.

A full-stack Coin Exchange application designed to calculate the minimum number of coins required for specified monetary amount.

I aspire to apply my finance-domain experience and technical training to build robust backend systems, intelligent automation pipelines, and scalable AI-driven applications.

Currently open to internships or roles in:

• Algorithm design / machine learning

• Cloud infrastructure and DevOps

• Backend engineering

My goal is to contribute to impactful, data-intensive projects while continuously expanding my skills in algorithms, distributed systems, and AI technologies.

• LinkedIn: https://www.linkedin.com/in/pangsianglian
• Email: angelpsl@ymail.com

“Learning never exhausts the mind.” — Leonardo da Vinci