Hi, I'm Faiz 👋
I'm a second-year Computer Science student at the University of Guelph, currently seeking 2025 Fall SWE internship opportunities 🌱
Profile

About

i'm passionate about full-stack applications, experimenting with large language models, and applying artificial intelligence to solve real-world problems.

this summer, i’m working as a full-stack developer at the university of guelph, building student-focused tools, and contributing to a AI-leveraged software solution project alongside professor joe sawada.

outside of tech, i enjoy photography, playing competitive sports, and participating in hackathons to bring creative ideas to life with friends.

Work Experience

B

Brown & Beatty

May 2025 - Present
Full-Stack Developer

Will be working alongside with Joe Sawada, Jeff Lindquist and Levi Cooperman on an AI-leveraged software solution transforming the labour dispute resolution process for unions, associations, and their employers

U

University of Guelph

May 2025 - Present
Full-Stack Developer

Building a full-stack web platform using Next.js and Supabase to manage inventory and streamline student access to professional attire.

U

University of Guelph

Sept 2024 - April 2025
Teaching Assistant

Supported over 100 students by providing detailed feedback, addressing queries, and fostering engagement through online discussions.

U

University of Guelph

May 2024 - April 2025
Undergraduate Research Assistant

Developed and optimized an AI-powered chatbot for course support, integrating advanced AI techniques and ensuring seamless user interactions while reserching the ethics of utilizing chatbots in university classroom setting.

Skills

React
Next.js
Typescript
Node.js
Python
C
Supabase
React
Docker
Zod
Material UI
Mongoose
Prisma
GraphQL
pandas
SQL
HTML5
CSS
Postgres
Java
JavaScript
REST API
Flask
Linux
Bash
CI/CD
Figma
GitHub Actions
Agile
Scrum
ChatGPT API
Google Gemini
Cohere API
AWS S3
Projects

just building

i build projects

uoguelph.courses

uoguelph.courses

A course search and review platform for University of Guelph

Next.js
Typescript
TailwindCSS
Supabase
Auth0
Python
Web-Scraping
TenantShield

TenantShield

Built an AI-powered legal assistant to help renters understand their rights, document disputes, and generate legal documents

Next.js
Typescript
TailwindCSS
Supabase
Google Gemini
NodeJS
Spend Smart

Spend Smart

Personal finance tracker built with Next.js and Node.js, offering real-time analytics, categorized spending insights, and currency exchange management to help users better manage their income and expenses.

Next.js
Typescript
TailwindCSS
Supabase
OlympicPredictor

OlympicPredictor

Built a predictive model for the 2024 Paris Olympics using historical data, achieving high accuracy through efficient data analysis.

Next.js
Typescript
TailwindCSS
Javascript
NextUI
Python
MCS2020 ChatBot

MCS2020 ChatBot

The chatbot is an AI tool built with the ChatGPT API to help students get quick and accurate answers to course questions, making learning easier and more efficient.

Next.js
Typescript
TailwindCSS
Javascript
NextUI
ChatGPT API
Hackathons

Innovate. Collaborate. Code.

i joined 3 hackathons, met great people, and built cool projects.

  • H
    🥇 1st Place - Poker

    HackCanada 2025

    Waterloo, Ontario

    TenantShield is an AI-powered legal assistant that helps Canadian renters understand their rights, dispute illegal rent increases or evictions, and generate legal documents. It provides an AI chatbot for legal guidance, a case builder to log disputes and upload evidence, and an automated legal document generator to assist tenants in protecting themselves against unfair landlord practices.
  • H

    HackTrent 2024

    Peterborough, Ontario

    EcoTrack empowers office managers to track, analyze, and optimize electricity and water use with AI-driven insights—making sustainability easy and impactful.
  • C
    🥈 2nd Place - Track 3

    CodeDex Hackathon 2024

    Remote

    Developed a predictive model for the 2024 Paris Olympics using historical data, achieving high accuracy through efficient data analysis.