Paolo De Lucia

Paolo De Lucia

Electrical engineer at Queen's. Building what comes next.

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

Open it on a desktop to drive it.Drive it

Front Street

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.

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
Oct 12 – 18, 2026, scoped and directed by Paolo, coded by Claude Code
Front Street at golden hour, from behind the red 911, Union Station on the left and the CN Tower ahead.
Front Street at golden hour, where every drive starts.

About

I'm Paolo. Third-year Electrical Engineering at Queen's, with a Certificate in Business from Smith Engineering. From Oakville.

I've been building since I was a 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 where things are new. Not on what's been around for years, but on what comes next.

Work

  • Questrade

    Next · Summer 2027
    Product Manager intern, Invest & Trade

  • Capital One

    Summer 2026
    Strategy Analyst Intern. Proved attrition is predictable before customers churn, on a portfolio losing $15M+ in annual NIAT.

  • Campus Equipment Outfitters

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

  • Hitachi Rail

    Summer 2025
    Strategy & Operations Intern. Cut contract prep time 96% with a Python tool.

Leadership

  • The Playground

    2026 –
    Co-founder of a student-led startup incubator at Queen's: 17 execs, 25 founders.

  • Queen's Startup Consulting

    2026 –
    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 did swimming teach you?

Ownership. In a team sport you can lean on the team. In a race there's no one else: whatever's on the board when you touch the wall is yours. And from twelve I was up at 4:17 every morning, the latest I could wake and still make 5:00 dryland before two hours in the pool.

Why engineering, then product?

Engineering is how I build. Product is how what I build reaches people. Business is a means to that.

What are you watching right now?

Fintech, robotics, data centres and chips. Anything at the frontier. Away from a screen: weightlifting, cooking, poker theory, 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.

Contact

© 2026 Paolo De Lucia