Hi ️👋 I’m,
Parker Rowe
I build things with
👨💻 Javascript
Just a computer engineering student based in ON Canada. I love tinkering with tech to bring people’s ideas to life! Feel free to reach out for a chat! ☕
About Me
I’m Parker, an engineer and software developer taking an internship year. I'll be entering my 4th year of Computer Engineering specialized in Entreprenuership & Innovation @ Queen’s University in 2022.
Ever since I was young I’ve loved to learn about technology and how I can build new things with it. I create things that people use and enjoy, including apps, websites, gadgets and computers.
Outside class I’m a leader in multiple teams which teach and spread interest in tech and engineering.
Aside from tech, I love camping 🏕, playing guitar 🎸, running and spending time with friends.
My Work & Projects
Canadian Undergraduate Conference on AI 2021 Website
- React
- Gatsby
- Javascript (ES6, JSX)
- GraphQL
- Netlify
A completely revamped and overhauled site for the 2021 CUCAI Conference. Going from branding guidelines and ideas on Figma to creating a fully fledged site using React & Gatsby. Uses Netlify CMS to manage content if other conference organizers needed to change anything.
F2020 - W2021
Hackintosh - MacOS on a Huawei Laptop
- MacOS
- Windows
- OpenCore
- Kernel Extensions
Had a really fun time doing a hackintosh + laptop upgrade for my Matebook X Pro 2018 for the first time. Using OpenCore + community made kernel extensions I've got the latest version of MacOS Big Sur dualbooting with Windows from the same drive. Everything is super stable and running well. Noticed battery life has been actually BETTER on MacOS than windows - and running cooler too. Huge credit goes to Profzei who maintains the repo for the Matebook X Pro hackintosh.
Fall 2020
Custom Robot Detection AI
- Python
- Tensorflow
- OpenCV
- Keras
As AI team lead of Queens University's Robomaster Design Team, I led twenty students toward learning, designing and creating auto-targeting robot artificial intelligence. Using Tensorflow's Object Detection API we have created a detection algorithm to detect enemy robot hit plates. Automating this process has given us a considerable advantage against the competition, and we learned a ton in the process! We found that the way we labelled data, and differentiating between red & blue coloured plates had a considerable effect on how accurate our model was.
December 2019
Experience
Software Engineering Intern
Ericsson
May 2021 - Present
• Lead Full-stack development of a new VPN certificate system using React/Next & Docker for Ericsson Response and the UN to securely manage access to networks during disaster relief
• Design & deploy a Kubernetes-scaled AI material prediction feature into Ericsson Indoor Planner to automatically predict user-uploaded floorplan’s materials
• Develop and create test cases of new features for Ericsson Indoor Planner API in C#
Software Developer Intern
Distributed Compute Labs/Kings Distributed Systems
July 2020 - April 2021
• Led Full-stack development on Looking Glass project, implementing a feature for predicting & visualizing COVID cases based on Ontario lockdown scenarios by city
• Architected & implemented a solution for initialization of different compute worker environments in Node & vanilla web JavaScript. Now in production on a network of thousands of different computers with heterogenous compute capability
• Took initiative to solidify & improve the onboarding UX for the start-up’s 50+ beta developers joining the platform through the First Devs program
• Wrote unit & end-to-end test scripts in Node to validate user Ethereum wallets and the compute API, now in company’s Gitlab CI
check out their site for more!
Web Developer
Canadian Undergraduate Conference on AI
May 2020 - May 2021
• Developed CUCAI 2021's new website using Reactjs & Gatsby
• Utilized Figma to create marketing branding guidelines, social media posts & banners for North America's largest undergraduate conference on AI
Operations Captain / AI Team Manager
Queen's Robomaster Design Team
May 2019 - May 2021
• Led the operations of a 50+ member campus design team to build 6 robots to compete in the 2021 DJI International Robomaster competition in Shenzhen, China
• Manage team budget and partnership outreach for the team’s financial security
• Led a team of 20 students toward learning and applying artificial intelligence using Python with Tensorflow to automate robots for the competitive DJI Robomaster competition in Shenzhen, China
• Successfully trained and deployed a custom hit-plate object detection algorithm using SSD-Mobilenet-V2 with a NVIDIA Jetson Nano to automatically target enemy armour plates
• Create legacy documentation, schedule weekly meetings, prepare slides, post agendas, update Gantt Charts with team’s progress, and write quarterly reports on AI team progress and design processes
• Set team on a path to using Machine Vision and AI in our robots for the first time