Building reliable software and AI-powered systems, from secure backend APIs to the data pipelines behind them. I care about clean architecture, solid testing, and understanding why code works, not just that it runs. Also fascinated by financial markets.
Selected Projects
A comprehensive machine learning system for assessing loan eligibility of Malaysian Small and Medium Enterprises (SMEs) in the Food and Beverages sector.
RunTrackr is a web-based event management system specifically designed for the Kuala Lumpur RunFest 2025.
The project aims to predict the Urban Heat Island (UHI) Index for various locations in New York City using satellite imagery data and machine learning techniques.
A secure, full-stack enrollment platform with role-based access for lecturers and students, enforcing real enrollment rules such as seat capacity and a 20 credit-hour cap.
Work Experience
AI & Data Intern
Deloitte Consulting SEA
2026
Web Developer & Social Media Admin
Trez Sport
2024 - 2025
Retail Assistant
TYPO Cotton On
2023 - 2024
Civil Engineering Intern
Putrajaya Corporation
2023
Tech Stack
Archives
Why a Data Engineering Intern Decided to Learn Spring Boot
AI tools showed me where my software engineering skills were thin. Here is why I picked Java and Spring Boot to fix that, and what I learned rebuilding UniRoll as a full-stack app.
What I Learned Teaching Myself dbt (as a Data Engineering Intern)
Notes from building my first real dbt + BigQuery project during my internship at Deloitte SEA Consulting — the concepts, the project structure, and every bug that taught me something.
Connect
Feel free to contact me at zaidaqil.work@gmail.com