Lucas Chen

Sheet 01 · Toronto, Canada · Scale 1:8960

LucasChen

Software engineer building AI tooling and ad tech at Zynga.

Role
Software Engineer
At
Zynga · AdTech
Base
Toronto, Canada

● Experience

Elevation profile

  1. 01 May 2025 – Present

    Software Engineer · Zynga

    AdTech team: AI tooling and ad projects.

    Toronto, ON

  2. 02 May 2023 – Jun 2024

    Full Stack Engineering Intern · Hexagon Manufacturing Intelligence

  3. 03 Sep 2022 – Apr 2023

    Teaching Assistant · McMaster University

    Hamilton, ON

  4. 04 May 2022 – Aug 2022

    Software Engineering Intern · Exchange Solutions

    E-commerce and loyalty platforms: a Shopify app on AWS, plus AR, blockchain and data-visualization work.

▲ Field notes

Now: Zynga, AdTech

Recent work, kept high-level.

  1. 01

    Ad-config MCP

    I designed and led internal tooling for ad-serving configurations at Zynga: a Model Context Protocol (MCP) server and tools that let AI assistants work with ad-serving configuration.

    • AI
    • MCP
    • AdTech
    • Leadership
  2. 02

    LiveOps agent

    2–3 h~20 minTime to complete one LiveOps workflow

    I worked on an AI LiveOps agent that cut a workflow from 2–3 hours to about 20 minutes.

    • AI agents
    • LiveOps
    • Automation
  3. 03

    High-value ads

    I designed and led a project that helps games identify high-value ads.

    • AdTech
    • Leadership

◆ Sites surveyed

Selected work

The 5 I'd show first.Show everything →

  1. SITE 01EL. 2026tool

    Agent Platform

    A control plane for safely delegating software work to autonomous coding agents.

    A harness-agnostic platform for handing software work to coding agents in Cursor, Claude Code or any other harness. The goal, from my spec: maximize architecture-approved, verified engineering output per dollar and per minute of human attention.

    Role Solo: spec, design and CLI (in progress)

    • TypeScript
    • Node.js
    • JSON Schema (Ajv)
    • Commander
    • YAML
  2. SITE 02EL. 2026product

    TennisBooker

    Books tennis and pickleball courts the moment booking opens, every morning.

    My parents had to set a 7:30 a.m. alarm every week to get courts at our local club, so I automated it. Members set weekly schedules in a web app, and a bot books the courts each morning and texts the results.

    Role Solo, full-stack (2023 version with help from Douglas Chen)

    • TypeScript
    • Playwright
    • React
    • Express
    • PostgreSQL
    • Auth0
    • Docker

    With Douglas Chen

  3. SITE 03EL. 2024product

    PlatefulAI

    Mobile meal planner: pick meals, get a grocery list, track calories and protein.

    A mobile-first meal planner: choose meals and servings, turn them into a grocery list, and track calories and protein against personal targets. Our team of five built it as a front-end prototype on mock meal data, so the “AI-powered meal prep” step is a UI concept.

    Role Team of 5: app shell, Auth0 login, meal-planning flow, deploy

    • React
    • Vite
    • MUI
    • Auth0
    • Chart.js
    • Vercel

    With Mohammad Mohsin Khan, Wajdan Faheem, Jasmine Sun-Hu, Hammad

  4. SITE 04EL. 2023product

    CarpoolX

    Android app that matches riders headed the same way so they can share a taxi.

    CarpoolX matches riders heading to the same destination so they can share a taxi and split the fare, with an upfront fare estimate and safety checks for riding with strangers. Four of us built it as a React Native Android app on a Flask and Firebase backend.

    Role Team of 4: repo lead, most of the Flask backend and auth, core screens

    • React Native
    • Python
    • Flask
    • Firebase
    • Google Maps Platform

    With Henushan Bala, Rafeed Iqbal, Allison Cook

  5. SITE 05EL. 2022hackathon

    Rest Day

    A workout planner that schedules rest days, not just workouts. Built at DeltaHacks 8.

    ★ 2nd place, “To Work or Not To Workout” sponsor challenge (AI Endurance), DeltaHacks 8

    A weekly workout planner that deliberately schedules rest days, designed to use Fitbit sleep and activity data to decide when to train and when to recover. Willie Pai and I built it in 36 hours at DeltaHacks 8.

    Role Team of 2: Fitbit API integration, landing page, deploy

    • React
    • Fitbit Web API
    • styled-components
    • Node.js
    • Figma

    With Willie Pai

■ Base camp

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