Selected technical builds
Practical apps and analysis work, presented with the decisions that matter: what I built, how it works, and where to inspect the code.
Current work
AI engineering for manual workflows, full-stack interfaces, and software that reduces handoffs.
Full-stack Next.js app
An art discovery app powered by The Met Museum API. Visitors can search by country or location, refine results, open artwork detail pages, and save favourites after signing in.
A searchable museum artwork app with protected favourites and search history.
Personal site
The site you are reading now: a responsive portfolio with dark and light modes, accessible navigation, project media, and a deployment flow connected to Vercel.
A direct portfolio built around technical proof, current work, and contact paths.
Machine learning project
A fraud detection workflow that analyses transaction data, prepares features, trains classification models, and evaluates suspicious-activity detection with practical metrics.
A supervised model workflow for flagging suspicious transaction patterns.
Analysis notebook
An HR analytics project that turns workforce data into readable charts covering attrition, department performance, salary distribution, and hiring trends.
A dashboard-style analysis for attrition, department patterns, and salary distribution.
I keep experiments, coursework, and in-progress builds there. This page stays focused on the work most worth reviewing.