I'm a Computer Science student building things across the stack — from Python and Java to web interfaces and machine learning models. I work fast, iterate hard, and ship.
Outside coursework, I've spent two years at McDonald's running back-of-house operations: stock control, training new crew, and keeping a high-volume kitchen moving under pressure. It taught me what most degrees can't — discipline, dependability, and how to perform when it counts.
I'm now looking for a place where I can put both sides of that experience to work.
An AI-enhanced restaurant management system built as my dissertation project. Full-stack platform handling menu management, order flow, and inventory — with a machine learning layer for demand forecasting and intelligent recommendations.
SmartDine is a full-stack restaurant management platform that brings together POS, inventory, menu management, orders, and analytics in one unified dashboard. The platform is augmented with a machine learning layer for demand forecasting and revenue insights, helping operators make data-driven decisions about stock and pricing.
It's deployed live at smartdine.live as a multi-role platform with separate views for owners, managers, and staff.
Building SmartDine end-to-end pushed me across the full stack: backend API design, frontend state management, database modelling, model training and evaluation, and deployment. The hardest part was not the code — it was scoping the product: deciding what mattered for v1, what to defer, and how to ship something usable rather than something perfect.