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Jacob Seiler

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I like to work hard and have fun doing it. As a software engineer working for Amazon, and software design graduate from Queen's University, I continually look for ways to learn and apply new skills and technologies.

Web application for designing and styling CSS components using interactive tools. Developed with React JS and Bootstrap frameworks using TypeScript and Sass.

Course project for Software Quality Assurance (CISC 327). Developed ticket buying and selling web application using Flask. Performed white and black box testing using Selenium and PyTest.

The same website you are on right now! A space for me to showcase my projects and ways to connect with me. This website was built using Astro with Preact, and Tailwind CSS.

Winner of the 2020 Camp QMIND hackathon. Over 200 participants each tasked with creating an Artificial Intelligence to classify fashion items. Used NumPy and Keras to preprocess images and build a CNN model. Final model had an accuracy of 91.95%.

Artificial Intelligence that generates lyrics based on genres using lyric data from the Genius API. Song's genre can be predicted with 62.99% accuracy and lyrics can be generated with 73.93% accuracy.

Artificial Intelligence that predicts stock market closing prices with an accuracy of 60.53%. Model is an ensemble LSTM built using Keras. Stock data obtained from Yahoo! Finance.

Game engine designed to make creating 2D Java games simple. Engine manages resolution scaling, delta timing, double buffer rendering, and provides an intuitive API to get started.

Oh, I also like scuba diving and playing guitar.