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.
Ereg11-5
Nasra10-6
Mile High Picks9-7
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
002
My Study
Canvas integration and AI-assisted weekly study command center. It shows API integration, urgency ranking, rubric parsing, responsible drafting, and student-controlled planning workflows.
Essay dueTonight
DB labThu
DiscussionReady
003
My Money
Local-first budget, bills, and income tracker. It demonstrates practical state modeling, everyday UX, responsive layout, and disciplined scope.
Month room$842
Bills paid9/12
Next due3 days
004
AI Command Center
A focused AI workflow engineering proof: request routing, RAG context packs, tool-call policies, prompt package generation, guardrails, eval checks, and a reviewer walkthrough that maps the static demo to a FastAPI trace API path.
Intent route97%
RAG pack3 cites
GuardrailsPass
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.
Subnet drill18/20
OSPF labReady
Mock exam30 Q
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.