Resume

Chris Kwan

Calgary, AB · 587-966-8287 · chriskwanmy@gmail.com · linkedin.com/in/chriskwanmy

Technical Skills

Languages:Python, JavaScript, TypeScript, Java, HTML, PHP, CSS

Tools & Platforms:Docker, Linux, Git

Professional Experience

Jan 2026 – Present

Executed system assembly, testing, and validation workflows for desktop and laptop deployments.
Maintained accurate operational and inventory records using Microsoft Dynamics 365 Finance & Operations.
Followed standardised technical procedures and quality assurance processes to ensure consistent deployment outcomes.

2018 – 2022

Built a JavaScript + Google Sheets ERP system handling inventory, customer management, invoicing, delivery notes, quotations, and automated PDF generation.
Maintained the company website and hardware infrastructure, performing system troubleshooting to ensure stable daily operations.

Key Projects

Python · Next.js · MongoDB · LLM

Designed and built the platform end-to-end: FastAPI + Next.js 14 + MongoDB + Meilisearch, containerized with Docker Compose.
Built an automated crawling pipeline using Playwright over Chrome DevTools Protocol to bypass Amazon bot-detection; consolidated all DOM extraction into a single in-page evaluation, improving throughput ~4×.
Architected a pluggable AI-provider layer (OpenAI / Claude / Deepseek, hot-swappable via one env variable) to auto-generate Traditional Chinese product titles, categories, and feature summaries.
Integrated Facebook Graph, Instagram Stories, and Threads APIs for scheduled auto-posting to Canada's Chinese-speaking community.
Conducted a proactive security audit and patched 3 critical vulnerabilities, including hardcoded DB credentials, an X-Forwarded-For rate-limit bypass, and an XSS-readable admin key.

Next.js · MongoDB · Hybrid Search · Docker

Engineered a Node.js crawler scraping ~12,500 product listings across 2 stores and 3 languages (EN / Traditional Chinese / Simplified Chinese) on a daily schedule via crontab + Docker Compose.
Designed a two-phase crawl pipeline reducing unnecessary requests by ~95%.
Implemented polite rate-limiting with configurable concurrency (p-limit), random jitter, and exponential back-off retries — keeping full runs under 5 minutes per combination.
Optimised MongoDB write patterns by appending price-history sub-documents only on price change, cutting write volume by ~80%.
Fixed a race condition serving empty API responses by replacing delete-then-insert with idempotent bulk upserts; containerized behind Nginx reverse proxy with HTTPS on an Ubuntu VPS.

Python · FastAPI · MongoDB · Docker

Built a full-stack link shortening platform with affiliate engine, supporting custom aliases, QR code generation, and deep link routing.
Implemented A/B testing for redirect targets with configurable weight distribution, scoped by subscription plan tier (Free / Pro / Business).
Designed an affiliate tag injection system with per-domain rules and an ethical no-overwrite policy.
Built click analytics pipeline tracking device type, geo-location, referrer, and time-series data; exposed EPC metrics via REST API.
Implemented JWT-based authentication with role-based access control (user / admin), plus plan-gated feature enforcement across all endpoints.

Next.js · Firebase · Vercel

Built a live deal feed using Firestore onSnapshot (no polling) with composable region/store/category/keyword filters and multiple sort modes.
Implemented infinite scroll via IntersectionObserver (32-item batches) and per-city filter persistence in sessionStorage; multi-language UI (EN / ZH / FR / KR / JP).
Generated dynamic Open Graph images at the Edge for rich social-sharing previews; fully responsive, mobile-first layout.

Next.js · FastAPI · Docker · MongoDB · OpenAI API

Built a full-stack AI-powered resume builder: Next.js 15 (App Router, TypeScript, TailwindCSS) frontend and FastAPI backend, deployed on Vercel + Docker.
Integrated OpenAI API to analyse job descriptions and recommend the most relevant skills, projects, and experience entries from a structured knowledge base.
Designed a personal profile database with full CRUD supporting both manual entry and AI-assisted bulk import from raw text.
Built resume export pipeline supporting PDF, DOCX, Markdown, and plain text output formats.
Architected a privacy-conscious AI rewrite feature that polishes bullet points without fabricating facts, inflating responsibilities, or inventing metrics.