Selected work · experiments · professional projects

Things I’ve built
to learn by doing.

A growing collection of software products, data systems, machine-learning experiments, and machine-vision work.

01

Fantasy API

A reusable Python data layer for fetching, organizing, storing, and serving fantasy-football data locally.

Python / APIs / Data pipelines / Machine learning
02

Nido

A self-hosted property-tracking workspace for managing operational data with control and clarity.

Go / React / TypeScript / SQLite / Vite
03

ESP Price Tracker

An Arduino device that displays cryptocurrency prices and balances on a small LCD screen.

C++ / C / Arduino / Binance API / LiquidCrystal
04

Fantasy RL

A reinforcement-learning environment where AI agents learn to manage fantasy-football teams.

Python / Reinforcement learning / Gym environment / MLflow
05

FantasyScoreboard

A modern web application for tracking fantasy-sports scores and league data in real time.

Astro / TypeScript / Preact / Tailwind CSS / Vercel