I'm a management engineering student at the university of waterloo University of Waterloo

I'm interested in product, optimization, and designing systems that bring structure to messy problems.

Outside of work, I paint in oils, lift heavy things, solve rubik's cubes, and spend time with my dog.

owen.li1@uwaterloo.ca·LinkedIn·GitHub


Work

  • Data Scientist Intern | Thales | 2026 – Present

    Incoming Summer 2026

  • Data Engineering Intern | BuildingAssets.ai | 2026 – Present

    Engineered automated data infrastructure for apartment market monitoring at scale.

  • Technical Product Manager Intern | Cotriply | 2026 – 2026

    Architected the roadmap for an AI travel MVP, translating business requirements into clearly scoped engineering execution.

  • Web Developer | UW Product Management Club | 2025 – 2026

    Maintained and deployed updates to the website.

  • Aquatic Deck Supervisor | City of Mississauga | 2023 – 2025

    Ensured safe and efficient operations during swim programs.

Projects

  • Vit

    Built Git for video editing. Lets DaVinci Resolve teams branch, merge, and version timeline decisions in parallel instead of handing off sequentially. 1.9M views, 17K likes, 395 GitHub stars.

  • CyberSea

    Built a maritime logistics simulator that modeled patrol resource allocation across Arctic bases and won 1st place at uOttawa Hacks.

  • NFL Win Drivers

    Analyzed multi-season NFL data to identify the team statistics that most strongly impact win percentage.

  • Student Finance Tracker (Excel + VBA)

    Built an Excel VBA tool to track transactions and automate overspending alerts and budget forecasting.

Awards

  • 🥇 1st Overall & 🥈 Thales Engineering Challenge – uOttaHack 8

    Developed CyberSea, a real-time Arctic route optimization simulator. Competed against 100+ teams.

  • 🏅 Finalist – Shopify CUTC Hackathon

    Built CityPath, an AI-powered intersection safety platform using geospatial and LLM-driven risk analysis.

  • 🏅 Finalist – LEC x LSCA Supply Chain Case Competition

    Presented a data-driven supply chain optimization strategy under time constraints.

  • 6th Place – Jane Street Estimation Competition

    Quantitative probability and expected value modeling under time constraints.