Hi,

I'm Grady.

Currently, I'm a 4th-year Computer Engineering student at Queen's University graduating in May 2023. I have a passion for building and all things engineering but more specifically am interested in innovative fintech, sustainable technology and design.

Previously, I've worked as a Backend Software Engineering Intern at Rival Technologies.

I'm currently looking for New Grad opportunities in Software Engineering.

Download CV

SOME PROJECTS

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Capstone Project

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Currently developing a blockchain-based package tracking system using Hyperledger Fabric, a Ktor backend server written in Kotlin, a user dashboard built in React, and an iOS NFC scanning mobile app built with Swift.

Capstone Project

portfolio-1

Sift

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· Developed a gift recommendation app featuring individual product swiping and gift recipient profile creation

· Built frontend React Native app with Flask and MongoDB server deployed to AWS EC2 with Nginx and Gunicorn

· Used Scikit learn to build profile based and collaborative filtering recommendation algorithm from swipe history

Sift

Sift

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Casa

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· A smart mobile roommate searching application featuring custom profile creation, a personalized profile ranking feed, and in-app communication previously released to the App Store

· Developed in Expo with JavaScript and React Native using Firebase user authentication and NoSQL database

Casa

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Trading Algorithm

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A trading algorithm built in Python that uses Natural Language Processing (NLP) on news headlines with a combination of a Time Series forecasting. Please contact me to see this code as it is not currently on Github.

Trading Algorithm

portfolio-2

Sorting Visualizer

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A Sorting Visualizer built with Javascript and the P5.js library. The sorting algorithms include Bubble Sort, Quick Sort and Merge Sort. Features include changing the number of elements to be sorted.

Github

Sorting Visualiser

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Mask Detection

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A Mask Detecting program written in Python using the openCV library. This uses facial recognition and the presence of different facial features to determine if a mask is being worn.

Github

Mask Detection

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Fuel Level Sensor

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Installed and programmed a Fuel Level Sensor with the use of an Arduino microcontroller and liquid flow sensor a Baja Racing Team. The program outputed statistics including fuel level and fuel consumption rates.

Github

Fuel Level Sensor

portfolio-3

Flappy Bird Remake

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Made a flappy bird recreation with the pygame module in Python. Fundamentals included the implementation object collision detection and motion due to gravity.

Github

Flappy Bird Remake

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Housing Price Prediction

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Jupyter notebook for the price prediction of houses using individual house characteristic data such as square footage, number of bedroom, distance to water, etc. Model uses the Tensor Flow library.

Github

Price Prediction

Location

Vancouver, BC

Contact