I build full-stack web products end to end: the schema, the API, and the interface on top. Currently an Associate Software Engineer at Arkmind. Before that, ML forecasting and industrial IoT telemetry.
Work
Four builds: two full-stack products, an Android app, and a research project.
Sep 2024 – May 2025
Led a team building a web-based exam document management system for a university exam office, with an ExpressJS/Firebase backend and a ReactJS frontend for document tracking and retrieval.
Jul 2024
Built a Chrome extension CRM for managing customer records, invoices, and activity tracking during a hackathon, with OAuth2 authentication and Notion API integration.
Sep 2025 – Dec 2025
Built an Android app for managing shared household cleaning tasks and schedules, with Firebase-backed real-time sync and Cloud Messaging reminders, from Figma prototypes to production.
Sep 2025 – May 2026
Built a forecasting pipeline for river nitrate prediction using STL decomposition and hybrid ML models, with automated hyperparameter tuning (Random Search, Grid Search, WOA) achieving ~10% lower MSE than non-decomposed baselines.
Experience
Jul 2026 – Present
Jun 2025 – Aug 2025
Skills
About
Most of my work is TypeScript and Python across the stack, and the builds I enjoy most are the ones where I own the schema, the API, and the screen. I came to it sideways, through a final year project on time-series forecasting and an internship building industrial IoT pipelines, which is why I am comfortable when the data layer turns out to be the hard part.
I think AI-assisted development is becoming the default way software gets written, not a novelty on top of it. Driving it well is its own skill: framing the problem, giving the model the right context, building the harness around it. I am still learning it, deliberately rather than by accident.
Education
University of Nottingham Malaysia
Sep 2023 – Jul 2026
Contact
Questions about a project, or something you'd like built? Send a note.