Hello I’m Nick Wood

I’m Nick Wood, a Computer Engineer from Toronto with a passion for AI, robotics, software development, and cloud infrastructure. Currently studying at the University of Toronto with minors in AI and Robotics, I’ve built scalable systems and full-stack applications through internships at Amazon, Perpetua, and Absolute Engagement.

My research experience in quantum machine learning and assistive tech has driven me to develop impactful, AI-powered solutions. I thrive at the intersection of machine learning, cloud computing, and software development, applying my skills to solve real-world problems.

Skills

Software Engineering

Machine Learning

Distributed Systems

Full-Stack Web Development

Mobile Applications

Professional Experience

Amazon

Software Development Engineer Intern

June 2024 - Aug 2024

Amazon

Software Development Engineer Intern

June 2024 - Aug 2024

Amazon

Software Development Engineer Intern

June 2024 - Aug 2024

Perpetua

Backend Software Engineer Intern

May 2023 - May 2024

Perpetua

Backend Software Engineer Intern

May 2023 - May 2024

Perpetua

Backend Software Engineer Intern

May 2023 - May 2024

Absolute Engagement

Full-Stack Software Engineer Intern

May 2022 - Aug 2022

Absolute Engagement

Full-Stack Software Engineer Intern

May 2022 - Aug 2022

Absolute Engagement

Full-Stack Software Engineer Intern

May 2022 - Aug 2022

CIBC

Infrastructure Engineer Intern

May 2021 - Aug 2021

CIBC

Infrastructure Engineer Intern

May 2021 - Aug 2021

CIBC

Infrastructure Engineer Intern

May 2021 - Aug 2021

Projects

Portrait Sketching Robot
This system enables a robotic arm to convert images into precise line drawings. Using a Python-based computer vision pipeline, it analyzes images and optimizes them into line segments for efficient robotic reproduction. The KUKA KR6 R700 sixx robot then follows these paths with high accuracy, guided by MATLAB-based inverse kinematics for smooth and controlled motion.
CompEng.gg
A webapp platform supporting the delivery and completion of course assessments for ECE students at the University of Toronto. It provides an intuitive interface for assignments, exercises, and quizzes. The platform is built with a React frontend, a Django backend leveraging WebSockets for real-time communication, and runs secure code execution on a Kubernetes cluster.
GitHub
Track(er) Bot
This robot tracker prototype uses computer vision (CV2) to follow specific individuals in real time. Built with LEGO Mindstorms EV3 and a Raspberry Pi 4, it detects faces using Mediapipe and OpenCV, then sends movement commands via SSH to the EV3 for precise tracking. The tank-style treads ensure smooth mobility, while MicroPython controls motor actions based on face position.
GitHub
Film Genre Classifier
Machine-learning model that classifies movie poster images by genre. Pytorch model trained on 12k+ poster images, with an accuracy of over 67%. Webapp allows for users to upload images and view model predictions using a Python Flask REST API.
GitHub
S.W.I.M Bot
A robot-mounted LED display that creates the illusion of floating text using motion. Built with Arduino MKR 1000 and LEGO EV3, it syncs movement with dynamic scrolling text, using an IMU for sensing and wireless message retrieval. Powered by MicroPython and C++, it showcases motion-based visual displays in a simple yet creative way.
GitHub
Multiplayer Snake Game
I created an online multiplayer implementation of the classic game Snake, developed using Python and JavaScript. Includes a multithreaded Python Websockets server deployed on Heroku that processes player inputs and updates the game state in less than 50ms, allowing the game to smoothly support 100+ concurrent players.
GitHub
Restaurant Recommendation App
A cross-platform (iOS/Android) restaurant recommendation app for U of T Hacks IX, featuring a swipe-based interface for browsing local dining options. Built with Flutter and powered by a custom Python Flask API for cloud-based data.
GitHub
Conway's Game of Life Simulator
JavaScript + HTML + CSS implementation of John Conway’s cellular automaton. Allows for a user to select initial conditions and run the simulation to observe the evolution of the system. Includes features to store and retrieve design blueprints from an online database using a custom Python Flask REST API.
GitHub