Hi, I'm Lin Hong
A Software Engineer
Waterloo CS '30
AboutMe
Hey! I'm Lin Hong, a Computer Science student at the University of Waterloo and a passionate software engineer. I love building thoughtful full-stack products and have led impactful teams to ship everything from developer tooling to AI-powered applications.
I've been to over 20 hackathons, won 10+ robotics awards, and organized over 6 hackathons to give back to the community. I'm also the founder of Linovation Design, where I built websites and ERP systems that helped local businesses improve operations.
Beyond code, I love storytelling, robotics, and anything that pushes me outside my comfort zone. Whether I'm debugging JavaScript, pitching a startup, or mentoring students, I bring energy, empathy, and execution.
MyWork Experiences
Lead Software Engineer @ Robeartics 19500
Onsite | September 2022 – Present
• Led mechanical and software development for competition robots using Java and FTC SDK.
• Designed AI-based autonomous navigation using TensorFlow and AprilTag detection.
• Trained and managed a 15-member team; led them to the 2025 World Championships in Houston, TX.
• Organized outreach workshops to teach programming and engineering to over 600 students.
Things I've Worked on,Some of Them
JamHacks 2025 Winning Project
Lofied
Lofied is an AI-powered web application that transforms regular songs into lo-fi versions. It analyzes uploaded MP3 files using audio signal processing techniques and applies effects such as reverb, EQ shaping, and background noise injection to mimic the nostalgic lo-fi aesthetic. Built with Python and JavaScript, the app offers an interactive frontend that allows users to preview and download the generated lo-fi tracks.
Python | Web Audio API | React | Flask | FFmpeg
JamHacks 2025 Winning Project
Lofied
Lofied is an AI-powered web application that transforms regular songs into lo-fi versions. It analyzes uploaded MP3 files using audio signal processing techniques and applies effects such as reverb, EQ shaping, and background noise injection to mimic the nostalgic lo-fi aesthetic. Built with Python and JavaScript, the app offers an interactive frontend that allows users to preview and download the generated lo-fi tracks.
Python | Web Audio API | React | Flask | FFmpeg
Hack the North 2024 Winning Project
Skip the Walk
Skip the Walk is a command-line pizza ordering tool built in under 9 hours at Hack the North 2024. I used Commander.js and Terraform to automate orders through the Domino's API, dramatically streamlining the food delivery process. The app integrates MappedIn for navigation and uses the Slack API to send live updates with interactive buttons, allowing volunteers to efficiently track and manage deliveries in real-time.
Commander.js | Terraform | MappedIn | Slack API
Hack the North 2024 Winning Project
Skip the Walk
Skip the Walk is a command-line pizza ordering tool built in under 9 hours at Hack the North 2024. I used Commander.js and Terraform to automate orders through the Domino's API, dramatically streamlining the food delivery process. The app integrates MappedIn for navigation and uses the Slack API to send live updates with interactive buttons, allowing volunteers to efficiently track and manage deliveries in real-time.
Commander.js | Terraform | MappedIn | Slack API
MetHacks 2023 Winning Project
Ingredify
Ingredify is a mobile application that helps users scan food labels and analyze ingredients using OCR powered by Tesseract. It leverages Cohere AI to explain ingredient functions and detect allergens, making it especially useful for those with dietary restrictions. The app was built with React Native and uses a Node.js and MongoDB backend to support food logging and personalized health tracking.
React Native | Tesseract OCR | Cohere AI | MongoDB | Node.js
MetHacks 2023 Winning Project
Ingredify
Ingredify is a mobile application that helps users scan food labels and analyze ingredients using OCR powered by Tesseract. It leverages Cohere AI to explain ingredient functions and detect allergens, making it especially useful for those with dietary restrictions. The app was built with React Native and uses a Node.js and MongoDB backend to support food logging and personalized health tracking.
React Native | Tesseract OCR | Cohere AI | MongoDB | Node.js
My Skills
Languages
Web Dev
Cloud
DevTools
