Omid Hemmati

416-906-1179 omid.hemmati@mail.utoronto.ca

Toronto, ON

Hi, I'm Omid. 👋

I’m a third-year student studying Computer Science at the University of Toronto.

Currently I’m working at Shopify, building tools to process massive-scale data streams through streaming infrastructure.

Download Resume

Experience

Software Engineer Intern

DoorDash • Toronto, ON

May 2026 – Aug 2026

Incoming Summer 2026

Software Engineer Intern

Shopify • Toronto, ON

Jan 2026 – Apr 2026

Developing scalable tooling for the Streaming Compute team to facilitate the movement of petabytes of data using Apache Flink and Kafka, supporting the platform's massive-scale real-time data needs.

Software Test Infrastructure Intern

Nokia • Ottawa, ON

Sep 2025 – Dec 2025

Developed automated Python-based backtesting and regression pipelines that scaled testing across thousands of Linux servers, surfaced build incompatibilities with git-style diff reports, and powered live observability dashboards for release readiness.

Software Developer Intern

University of Toronto • Toronto, ON

Sep 2024 – Aug 2025

Contributed to Markus, an open-source web application for managing assignment submissions, grading, and feedback.
Worked on MemoryViz, a Python memory state visualizer used to teach memory models and variable behavior.

Projects

Syllabus Parser Thumbnail

Syllabus Parser

A productivity tool that parses course syllabi using Google Gemini and generates dynamic schedules.

Typescript, React, Express.js, Node.js, Auth0

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Multilingual Chat App

A real-time chat platform that translates messages across 11 languages using the DeepL API, with a Java backend and MongoDB for data storage.

Java, MongoDB, DeepL API

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AI Video Generator

An automation pipeline that generates TikTok videos using OpenAI Whisper for transcription, Reddit for content sourcing, and FFmpeg for editing.

Python, OpenAI Whisper, Google Cloud, Reddit API, FFmpeg

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Instagram Unfollowers

A social media analytics app that identifies unfollower trends from Instagram JSON exports, built with Python and Streamlit.

Python, Streamlit

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City Rate

A full-stack web app that displays random cities enriched with Wikipedia data and allows users to submit star ratings, with ratings stored in a local SQLite database.

Node.js, Express.js, SQLite

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Dr. Ricardo

A recreation of Nintendo’s Dr. Mario game written entirely in MIPS assembly, featuring gravity mechanics, virus-clearing logic, and sprite-based animation.

MIPS Assembly, Saturn

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STM32 Developer Dashboard

A developer dashboard with a Flask backend and Next.js frontend that communicates with an STM32 via a UART shell for real-time interaction and monitoring.

Flask, Next.js, STM32, UART