Raymond Liu.

Honours Computer Science Student
at Carleton University

Autumn

Get to know me

01 / A little introduction

About Me

As a third-year Computer Science student at Carleton University with a minor in Statistics, I am passionate about developing impactful software on both the frontend and backend. I have a love for designing interactive and unique user interfaces, and I am always eager to learn new technologies and take on challenging projects.

Raymond Liu
Me!

Pictured here in Pompeii

02 / The path so far

Professional Journey

Software Engineer Intern

ShopifyMay 2026 - August 2026

Integrated web search and five research skills into Sidekick Pulse, Shopify's AI commerce researcher, improving recommendation click-through by 8%. Built multi-query batching, multilingual safeguards, and feedback pipelines to improve efficiency, reliability, and reach.

Infrastructure Engineer Intern

ShopifySeptember 2025 - December 2025

Built Ruby tooling and agentic incident response systems for the enterprise SRE team, accelerating incident resolution and improving system observability.

Software Engineer in Test

CienaMay 2025 - August 2025

Worked on the RLS Integration testing team. Developed automated tools to improve test analysis, and conducted hardening tests to discover and diagnose issues on the product.

Software Engineer Intern

CienaMay 2024 - December 2024

Worked on the RLS performance and automation team. Developed automated tools and enhanced system performance monitoring.

Software Developer Intern

ViitaiJune 2023 - August 2023

Contributed with mainly front-end work and backend testing. Designed UI/UX and developed ShellTOC Help Center.

03 / Selected work

Things I’ve built

More on GitHub

Omni Recs

An AI-powered, location-based recommendation system using Python, Flask, and Kafka. Integrates LLMs and MapBox API for real-time suggestions.

Art Gallery Platform

Full-stack art-sharing platform for artists. Built with Node.js, Express, and MongoDB, featuring a RESTful API and a responsive UI using Pug.

Dango E-Commerce Store

A modern Japanese dessert e-commerce store built with React. Features a clean UI/UX designed in Figma, with real-time cart updates and seamless checkout.

Fermet - AI Tutoring Service

An AI tutoring platform built with Python, PydanticAI, Next.js, and MCP. Features deterministic session orchestration, adaptive learning activities, and an LLM-as-a-Judge evaluation framework.