I'm Peter Tang, a full‑stack engineer and technical founder who owns end‑to‑end delivery of systems across AI, civic-tech, mobile apps, and large-scale scraping platforms. I’m known for shipping high-impact products quickly, designing scalable architectures, and leading engineering from concept to market. I'm passionate about product strategy, UX, and building resilient teams that deliver user‑centered software customers love.

Peter Tang

I'm Peter Tang, a full‑stack engineer and technical founder who owns end‑to‑end delivery of systems across AI, civic-tech, mobile apps, and large-scale scraping platforms. I’m known for shipping high-impact products quickly, designing scalable architectures, and leading engineering from concept to market. I'm passionate about product strategy, UX, and building resilient teams that deliver user‑centered software customers love.

Available to hire

I’m Peter Tang, a full‑stack engineer and technical founder who owns end‑to‑end delivery of systems across AI, civic-tech, mobile apps, and large-scale scraping platforms. I’m known for shipping high-impact products quickly, designing scalable architectures, and leading engineering from concept to market.

I’m passionate about product strategy, UX, and building resilient teams that deliver user‑centered software customers love.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent

Work Experience

CTO & Full-Stack Lead Engineer at 22AI
January 1, 2021 - January 1, 2024
Architected entire AI-driven recruiting platform from scratch, enabling the company to generate over $1M CAD revenue in year one. Built a high-throughput LinkedIn scraping system capable of processing thousands of resumes daily with distributed workers and automated profile normalization. Developed proprietary AI resume-matching engine using Python, embeddings, and ML heuristics to match candidates to job descriptions in seconds. Engineered full SaaS platform: React dashboards, Node.js/Express API, authentication, billing, analytics, multi-tenant architecture, and automated job ingestion. Implemented cloud deployment with PM2 clustering, monitoring, error-alerting, and horizontal scaling. Played key role in reaching a $5M–$6M USD valuation and securing enterprise and institutional customers.
Head of Software & Co-Founder at POLLLITICLY
January 1, 2019 - January 1, 2021
Led full technical development of a civic-tech platform used by U.S. congressional offices to poll and communicate with constituents in real time. Built secure polling workflows, results dashboards, messaging logic, and encryption-aware data handling. Implemented scalable backend using Node.js + MongoDB and responsive React frontend. Managed CI/CD, staging environments, uptime reliability, and rapid iteration cycles. Contributed directly to a successful software-focused acquisition.
Founder / Lead Engineer at ZANQ INC
January 1, 2016 - January 1, 2019
Built iOS and Android social apps using Swift, Objective-C, and React Native with cloud-based APIs. Designed backend (Laravel, MySQL) supporting messaging, notifications, analytics, and ML signals. Launched influencer pilot achieving 7000% ROI, validating early product-market demand. Owned product strategy, UX, and technical direction for all versions shipped.
Systems Analyst at University of Alberta
January 1, 2002 - January 1, 2008
Developed research software used in multiple published academic studies; co-authored six research papers. Maintained and improved lab networks, scripting automation, and data processing tools. Supported faculty and researchers with custom software and system upgrades.

Education

B.Sc. Computing Science at University of Alberta
January 11, 2030 - November 28, 2025
Machine Learning Certificate at Stanford / Coursera
January 11, 2030 - November 28, 2025
MIT Sandbox Accelerator — Startup Incubation Program at MIT Sandbox Accelerator
January 11, 2030 - November 28, 2025

Qualifications

MIT Sandbox Accelerator — Startup Incubation Program
January 11, 2030 - November 28, 2025
Machine Learning Certificate
January 11, 2030 - November 28, 2025

Industry Experience

Software & Internet, Government, Education, Professional Services, Other
    paper Community Owners

    Community Owners is a location-based social platform built to make supporting local businesses feel like playing a city-wide strategy game. I served as Co-Founder and Technical Lead, responsible for designing and developing the full technology stack, from product architecture to production deployment.

    The product lets users upload receipts from participating businesses, earn points, “own shares” of their favourite local spots, and climb leaderboards that reflect real community influence. On the merchant side, businesses gain a lightweight marketing engine that rewards customer loyalty, increases repeat visits, and boosts visibility through community-driven engagement.

    Technical Highlights
    • Built the full-stack platform using modern JavaScript frameworks and cloud infrastructure.
    • Developed a receipt-processing system that translates purchases into in-game value using an automated valuation algorithm.
    • Implemented dynamic leaderboards, user profiles, rewards logic, and scalable merchant onboarding tools.
    • Integrated geolocation and social-sharing mechanics to reinforce the feeling of playing a real-life board game mapped onto the city.
    • Designed an early version of a gamified AR experience for scavenger hunts, business discovery, and in-city challenges.
    • Set up secure deployment pipelines, monitoring, and multi-environment infrastructure suitable for a growing startup.

    Product Impact
    The platform blends local commerce, gaming mechanics, and social identity to create a unique way for people to explore their city. It gives businesses a measurable, receipt-backed method of generating customer loyalty while giving players a fun, competitive way to build community.