π GDipSA student at NUS | π§Ύ Former Finance Professional | π» 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:
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Algorithm design / machine learning
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Cloud infrastructure and DevOps
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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
βLearning never exhausts the mind.β β Leonardo da Vinci