The red 911 on Front Street by Union Station's colonnade, the CN Tower ahead.

Paolo De Lucia

Electrical engineering student at Queen's with a passion for building.

This site is a drivable model of downtown Toronto, built from the City's own data.

Open it on a desktop to drive it.Drive it

Drive Toronto

The model this site runs on: the blocks around Union Station, from the City's own data.

The model from above: Union Station's train shed, the Royal York, Royal Bank Plaza's gold tower and Front Street.
Union Station, the Fairmont Royal York and Royal Bank Plaza, from 640 m up. Every building is the City of Toronto's 3D massing, in its real colour. Built from City of Toronto and Ontario open data (Open Government Licence) and © OpenStreetMap contributors.

The real ground.

Grades come from Ontario's LiDAR survey on a 2 m grid, so the underpasses dip and Front St sits where it does, 79.12 m above sea level at Union.

The real street.

Curbs, crosswalks and signals from the City's survey. The 504 King streetcars run under their wire and stop at the real stops.

The real car.

A 911 Turbo S on a model of its drivetrain: 0–100 km/h in 2.72 s against the real car's 2.7. Space drifts, G jumps, like the new Tesla Roadster feature.

Specifications

Area
0.45 km² drivable, York St to Yonge St, King St to Bremner Blvd, inside a 250 m context ring
Buildings
City of Toronto 3D massing, each building in its own colour, roofs sampled from the 2025 orthophoto
Terrain
Ontario LiDAR DTM and DSM, 2 m grid
Streets
City topographic survey and OpenStreetMap: lanes, markings, signals, street trees
Life
Up to 300 pedestrians, traffic that crashes like traffic, streetcars and GO trains
Car
Porsche 911 Turbo S (992), Normal and Sport
Runs on
A desktop browser, at most 150 draw calls a frame
Built
October 2026
Front Street at golden hour, from behind the red 911, Union Station on the left and the CN Tower ahead.
Union Station on Front Street at golden hour.

About

Hello! I'm Paolo. Third-year Electrical Engineering at Queen's. Originally from Oakville.

I've been building since I was a young kid: robotics camps, hackathons, my own apps at eight. One of the first emails in my inbox is me asking the developers of Hopscotch, a coding app for kids, to add features.

I want to work on things at the frontier. Not on what's been around for years, but on what comes next and moves the world.

Work

  • Questrade

    Next · Summer 2027
    Product Manager intern, Invest & Trade

  • Capital One

    Summer 2026
    Strategy Analyst Intern on the Backbook Product Strategy team

  • Campus Equipment Outfitters

    2025 – Present
    Head Manager of a $600K-revenue campus business.

  • Hitachi Rail

    Summer 2025
    Strategy & Operations Intern

Leadership

  • The Playground

    2026 – Present
    Co-founder of a student-led startup incubator at Queen's: 6 teams building startups this fall.

  • Queen's Startup Consulting

    2026 – Present
    Project Manager, working with an AI cybersecurity firm.

  • Chief FREC

    2024 – 25
    Led orientation week for 1,000 engineers; hired 290 leaders.

  • Competitive swimming

    2016 – 24
    National level, 20+ hours a week, Oakville Aquatic Club.

Questions

Why a drivable Toronto?

Toronto is home. I love its tech scene, and it's where I worked last summer and will again next summer.

What draws you to tech and product?

Product is how you reach a ton of people and materially change their lives. It's what I love right now, but I'm open to any role where I get to build at the frontier.

What are you watching right now?

I'm really into the fintech and robotics scene, and I'm super bullish on hardware over the next few years. Anything at the frontier. When away from the screen: weightlifting, cooking, poker, travel and photography.

Also building

  • Spillover Dashboard

    Finds lead/lag relationships between Polymarket odds and the traditional-market assets they move with, using Granger causality and related tests of whether either market predicts the other.

    Why: I was fascinated by how much data Polymarket makes public, and how accurate the markets are. No alpha found yet. Even if there's none, I learned a lot about markets, data and retail trading; it's what drove my interest in Questrade.

  • AI charm

    A wearable AI charm I'm building on my own: a Waveshare ESP32-S3 that listens, and talks to an AI agent running on a VM.

    Parts arrive this week. Super early.

  • Wi-Fi motion sensing

    Two ESP32 boards that track movement in a room from the disruption it causes in the Wi-Fi signal between them.

    Parts arrive this week. Super early.

Contact

Always love meeting new people. Happy to chat about anything, so feel free to reach out.

© 2026 Paolo De Lucia