Braydon Wang

Computer Science Student

Current student at the University of Waterloo for Computer Science.

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About Me

This is who I am

  • Full Name: Braydon Wang
  • Location: Toronto, Canada
  • Email: b392wang@uwaterloo.ca

I'm a University of Waterloo Class of 2026 student majoring in Computer Science. My passions lie in using computer programming and technology to solve problems in the real world. I am also interested in artificial intelligence, designing software applications, developing video games, and exploring how computers interact with humans.

Programming Languages

C/C++

90%

Typescript/Javascript

85%

Java

75%

Python

65%





Projects

Biquadris

A 2-player game variation of Tetris created using OOP principles in C++ for CS246 fall 2022 final project

GitHub Repo

Receipt3.0

Full-stack Web3 application made using MERN that gives the businesses the ability to create digital receipts that exist on the Ethereum blockchain

GitHub Repo

Activio

Full-stack MERN web and mobile application for exercise planning, calorie tracking and blog posting

GitHub Repo Try it out!

Malaria Cell Detection Model

Deep learning image classification model using Convolutional Neural Networks (CNN) and ResNet9 to detect infected malaria cells

GitHub Repo

Travel Advisor App

Full-stack travel advisor app for users to find high-reviewed restaurants, hotels and attractions nearby. Used Google Maps and Places API, Travel Advisor API and Open Weather Map API.

GitHub Repo

Influenster

Full-stack application where users can create their own posts, and explore, like and comment on other posts

GitHub Repo

Machine Learning Bootcamp

A list of all of my assignments and analyses that I developed during phase 1 of the GDG Cloud Edmonton Machine Learning Bootcamp 2021. All were made using python on Google Colab and relied heavily on external libraries and data from the Titanic Kaggle Contest.

GitHub Repo NLP Repo (Phase 2)

Competitive Programming Solutions

Over 700+ of my competitive programming solutions for platforms including DM::OJ, Codeforces and Leetcode. In total, these solutions cover a wide range of different topics, contests, and platforms

GitHub Repo

DubG Video Game

A multiplayer, action-arcade, battle royale shooter game with features including turrets, experience levels, crates, and potions. The user can choose to either be the server and host a game or be the client and join an existing game.

GitHub Repo Youtube Video

Resume

My Credentials

EDUCATION

Sep 2021 - Apr 2026

Candidate for Bachelor of Computer Science, Honours Coop

University of Waterloo

  • GPA: 4.0
  • Relevant Courses: CS 246 - Object Oriented Software Development, CS 146 - Elementary Algorithm Design and Data Abstraction (Advanced), CS 145 - Designing Functional Programs (Advanced)
  • Awards: Faculty of Mathematics Entrance Scholarship, President's Scholarship of Distinction

Sep 2017 - Jun 2021

High School Degree

Richmond Hill High School

  • Grade: 98%
  • Clubs/Societies: Computer Science Club (Senior Executive), Physics Club, Chemistry Club, Junior Badminton Team, Debate Club, DECA, and more

EXPERIENCE

Sep 2022 - Present

Firmware Subteam Member

UW Formula Electric

  • Languages/Tech: C, STM32

May 2022 - Aug 2022

Software Engineer Intern

Cloudspark Labs Technology

  • Languages/Tech: React, Typescript, Material UI, Node, Git, SQL
  • Transformed multiple Microsoft Teams app that improve productivity for users, by building new features using React and Material UI from Figma designs
  • Migrated global state management from custom Flux Architecture to Recoil, cutting unnecessary renders by 10%
  • Coordinated with backend developers to operate on a monolithic database (Cosmos DB) by making RESTful API calls and queried data using SQL
  • Led the research and development of a new timezone feature using Moment.js that allowed for accurate representations of international transactions
  • Reviewed and verified code relating to single sign-on authentication and JWT tokens

Jun 2021 - Sep 2021

Machine Learning Developer

GDG Cloud Edmonton

  • Languages/Tech: Python, Numpy, Pandas, Pytorch, TensorFlow, Matplotlib, SKLearn, Keras
  • Designed a grid search and cross validation model used to predict titanic survival chances with 85% accuracy
  • Explored NLP by creating a named-entity recognition program using BERT
  • Further studied NLP by developing a fine-tuned BERT question-answering machine


Contact


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