A NOTE FROM THE DEVELOPER
I’m Sunny, a developer in Montréal. I follow my curiosity into software, markets, and the systems that connect them.
This is a collection of what I’ve built, what I’m learning, and where I’m headed next.
A serverless experiment in making stock data useful. Built with Python and Azure Functions.
Inside the projectI'm a software developer in Montreal with 5+ years of building, from web apps in React, Next.js, and TypeScript to backend services in Python, Java, and C#/.NET. I care about shipping things that hold up under real use, not just things that work.
Most of what I build comes out of whatever I'm into — finance led to the Azure Live Market Data App (a serverless API for real-time stock data), F1 has me deep in an ML race-prediction model, and my Loriginal internship had me full-stack on a RAG-powered feature and an AR experience. Half my projects start as “I wonder if I could build that.”
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Projects Shipped
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Game Jam 2024
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Languages
Built RAG (Retrieval-Augmented Generation) automation to streamline workflows and surface relevant information. Implemented augmented reality (AR) features as part of the product experience.
Ran test cases to validate the point-of-sale software for Revenu Québec certification. Documented results and helped ensure compliance with certification requirements.
$ git log --work-experience
commit faaade2 (HEAD -> main)
Author: Sunny Chen
Date: Jun 2026 – Present
Full Stack Engineer @ Loriginal · Montreal, QC
Built RAG (Retrieval-Augmented Generation) automation to streamline workflows and surface relevant information.
Implemented augmented reality (AR) features as part of the product experience.
tags: TypeScript Next.js Prisma PostgreSQL MySQL RAG AR
link: https://loriginal.org
link: https://artur.art
commit 8597f9a
Author: Sunny Chen
Date: Jun 2026 – Oct 2026
Quality Assurance @ GBT POS · Montreal, QC
Ran test cases to validate the point-of-sale software for Revenu Québec certification.
Documented results and helped ensure compliance with certification requirements.
tags: QA Test Cases Software Certification POS
Choose a stop to explore each role.
Loriginal
Jun 2026 – Present · Montreal, QC
Session highlights
Technical setup
A running record of experiments, useful tools, and things made out of curiosity.
Showing 9 of 9 projects
A serverless application that retrieves real-time stock prices using the yfinance API. Implements a REST API endpoint supporting GET and POST requests to fetch market data for specified stock tickers. Built on Azure Functions for scalable, cost-effective cloud deployment.
Built an Ideal Gas Law simulator in Java/JavaFX to model the relationship between variables in real time. Implemented interactive visualizations and user controls to dynamically adjust variables and observe simulation outcomes. Led a team of 3 to accomplish the project with tight deadlines.
A Plants vs. Zombies themed website built for the Vanier College Robotics Team. Designed and developed an engaging, game-inspired interface to showcase the team and attract new members. Built with Vue.js for a dynamic and interactive user experience.
Collaborated as part of a dynamic team of five to achieve first place in a competitive Game Jam competition. Developed and implemented innovative game concepts within tight time constraints, resulting in recognition for excellence. Led the conceptualization and design of a game project.
Developed a 2D physics simulation engine in Java and JavaFX, modeling pendulums, springs, collisions, and momentum. Applied object-oriented programming (OOP) and design patterns to build modular and scalable simulation modules. Collaborated in a team of 4 using Agile methodologies (Scrum, sprint planning, stand-ups) to ensure efficient project delivery. Utilized Git/GitHub for version control, implementing branching strategies and code reviews to maintain code quality.
LLM-powered tool that scans a Gmail inbox to surface internship-related emails and extract structured details like company, role, and status. Integrates with the Gmail API to fetch messages and runs a local Qwen model via Ollama for private, offline classification and extraction. Designed to keep all email content on-device while automating the tedious work of tracking internship applications.