Selected work · Portfolio

Projects that explain how I build.

Each project is framed like a real product: the problem, architecture, tradeoffs, AI opportunities, functional demos, and what a reviewer should notice. No filler — just practical software built around real workflows.

5Featured projects
4Interactive demos
1Live training app
100%Solo built
001

Pick'Em Arena

NFL pick'em MVP where players choose weekly game winners and compete on a football-style wins/losses leaderboard instead of points.

JavaScriptESPN APILocalStorageProduct MVP
Ereg11-5
Nasra10-6
Mile High Picks9-7
002

Sugar Does Not Sell Candy

Scroll-driven data essay about candy popularity. It shows data analysis, interactive chart states, narrative pacing, and a clear finding: chocolate mattered far more than sugar.

HTMLCSSJavaScriptChart.jsScrollama
Sugar r0.23
Chocolate lift+19
Top 10All chocolate
003

Cheap Eats This Week

Budget-first recipe planner that ranks dinners by estimated cost per serving and shows whether the selected meals fit the weekly budget.

ReactViteBudget UXRecipe API conceptResponsive UI
Budget$30
Dinners5
SortedCheapest
004

A11y Report Card

Accessibility audit interface that turns a URL into a letter grade, score, issue totals, and plain-English remediation guidance. The portfolio version includes a static fallback report for plain public_html hosting.

ReactViteAccessibilityWCAGAxe-core concept
GradeB
Score82
FixesPlain English
005

CCNA 200-301 Training Guide

Interactive lessons, IOS-style labs, subnetting drills, notes, and a timed mock exam built into a static browser app.

React 19ViteTraining UXLocalStorageNetworking
Subnet drill18/20
OSPF labReady
Mock exam30 Q
How to review this work

What I want these projects to prove.

These projects are meant to show backend judgment, product taste, and follow-through. The goal is not just that the pages look good — it is that a hiring manager can quickly see how I break down messy workflows into simple, shippable tools.

1. Real problemEach project starts from a workflow I understand personally: school, money, AI workflow automation, or technical learning.
2. Clean systemThe implementation favors simple data shapes, clear UI states, and deployment that does not require a fragile setup.
3. Portfolio proofCase studies and demos make the work reviewable even when the full private app is not published.