An 8 month course from Udacity on the application of machine and deep learning to stock and futures trading. In this course, I learned everything from using basic momentum-based trading strategies to building smart beta portfolios, using NLP and alternative data to find new sources of alpha, and building backtesters using Barra data. Each of these links leads to a GitHub repository with a Jupyter notebook and relevant data for each Udacity project I completed throughout the "AI for Trading" nanodegree.

A 5 foot tall, 1.5 kilogram rocket my classmate Emmett Hart and I built for our 2020 Intermediate Engineering class final project. The rocket was an EZ-I65 airframe equipped with a payload bay, a Raspberry Pi (a single board computer running Linux), a custom PCB I designed to hold our sensors and connect them to the Raspberry Pi's GPIO pins, and an IMU, temperature, and altitude sensor. The rocket flew on an H283 high power composite fuel rocket motor making 73 pounds of thrust, and the launch earned me my NAR Junior Level 1 high power rocketry certification.

A Tern Node D7i conversion my classmate Brandon Walker and I designed and built for our AP US History teacher. The bike has a 3D printed drive pulley with CNC cut aluminum spokes, a 3D printed dashboard with an LCD display running custom software, and goes more than 20 miles on a charge cruising at 20 to 25 miles per hour.