Hello, I'm
Developer. Future Founder.
Software engineering student at Drexel, building full-stack web apps and machine learning tools with TypeScript, Python, and AWS.

2025 Graduation Speech. Click here to view
Hello! I'm Patrick Melan, a freshman at Drexel University studying Software Engineering. I enjoy building full-stack web apps and useful data tools & dashboards, mostly in TypeScript and Python. My stack usually involves Next.js, PostgreSQL, and some combination of AWS services, but I'm always trying to learn new technologies.
Outside of code, basketball takes up a lot of my time, as I've played it, officiated it as a PIAA official, and now I'm a student manager for the Drexel Women's Basketball Team, doing things from traveling with the team to away games to helping record statistics at practice. It's been a great way to stay connected to the game, although that's not very hard when you're in the City of Basketball Love.
Right now I'm focused on getting deeper into machine learning — I recently shipped an XGBoost bracket predictor with Monte Carlo simulations and live odds comparison.
Easton Flipped, LLC
February 2026 - Present
Built and deployed a full-stack real estate platform for a local property flipping business, handling everything from infrastructure to authentication.

XGBoost model trained on Kaggle NCAA tournament data augmented with Torvik adjusted efficiency ratings to predict game outcomes. Runs 10,000 Monte Carlo simulations of the 68-team bracket to generate per-team round-by-round advancement probabilities, then surfaces results in a Next.js frontend with live betting line comparison via the Odds API.

Full-stack real estate platform for a property renovation business, built with Next.js 15 and PostgreSQL via Drizzle ORM. JWT authentication is enforced at the Edge via Next.js middleware, protecting an admin dashboard for managing property listings with S3 image uploads and four distinct contact form flows (sell/buy/general/quick) with reCAPTCHA v3. Deployed as a multi-container Docker Compose stack with Caddy (auto HTTPS), self-hosted Umami analytics, and DNS via AWS Route 53.
Full-stack multi-municipality data review platform built for Polity Inc., a government data consulting company. Clients authenticate via Clerk and walk through guided workflows to either map and request specific data fields or validate existing government records (permits, code violations, GIS parcels) before a data migration. An Express API on EC2 backs AWS Athena SQL queries over S3-stored data and fuzzy-matches MAT vs. GIS parcel records with Fuse.js, surfacing discrepancies in a multi-step React wizard.