Full-Stack Developer · Software Engineering Degree in Progress

I build practical web apps with clean UI, real features, and AI-powered workflows.

I build software around real operational needs—from a custom transportation management system for Mr. D’s Transportation to ADHD Study AI, a deployed study-planning platform.

Degree in progress

B.S. Software Engineering

Arizona State University

Expected completion 2027

Selected Project

Independent Product Work

AI Study Platform

ADHD Study AI

A deployed study-planning app that helps students turn overwhelming assignments and study materials into smaller, clearer next steps.

  • Supabase authentication and database workflows
  • AI flashcard and study guide generation
  • Planner system with tasks, due dates, priority, and estimated time
  • Focus sessions for breaking assignments into smaller work blocks
  • AI tutor interface for guided study support

Skills

Technical Stack

Frontend

HTML, CSS, JavaScript, React, Next.js, TypeScript, Tailwind CSS

Backend

Supabase, PostgreSQL, Drizzle ORM, API routes, authentication, RLS policies

AI Integration

OpenAI API, prompt design, structured PDF extraction, AI-generated study tools, streaming chat UI

Tools & Testing

Git, GitHub, Vercel, Vitest, Playwright, VS Code, npm

Experience

Professional Experience

Mr. D’s Transportation · 2016–2024

Full-Stack Software Developer & Transportation Operations

From 2016 through 2024, I worked in transportation operations at Mr. D’s Transportation, coordinating time-sensitive shipments and working directly with customers, drivers, and business contacts. I used that eight years of domain experience to design and build Load Ledger, a full-stack system that translates day-to-day dispatch workflows into one secure operations platform.

  • Built around firsthand experience coordinating and monitoring up to 100 shipments per week
  • Replaced fragmented spreadsheet tracking with centralized shipment, client, carrier, and location workflows
  • Created a live operations dashboard for dispatch attention flags, load status, and upcoming pickups
  • Added AI-assisted PDF extraction with human review before shipment records are created
  • Implemented secure proof-of-delivery storage, authentication, and row-level data access
  • Developed with Next.js, TypeScript, PostgreSQL, Drizzle ORM, and Supabase

Contact

I’m looking to contribute as a full-stack developer, with a focus on thoughtful frontend experiences and reliable product workflows.

GitHub Résumé