There's always a better way.
I love solving problems and I'm always looking for my next challenge. My passion inspires me to constantly improve my skills and knowledge.
Studies (Queen's University): computer science, artificial intelligence, neuroscience, math & statistics, biopsychology, philosophy, and finance
Professional experience (internships): AI research, translating research into applications, and web development
Extracurricular experience (QMIND): applying AI knowledge to real-world problems, managing large and small teams, and time management
I believe that there is always a better way to do things, which has led me down the rabbit hole of Arch Linux and Neovim. I continuously power up my setup through clever scripts and configuration, some of which can be found in my projects below. I have applied these skills to write automated marking scripts for the courses I TA, which have now become the standard way of marking the relevant tests and assignments going forward.
Read more...Last summer, I co-authored a comprehensive library for action model acquisition and state-trace generation at the Mu Lab. It was an incredible intellectual challenge implementing complex theoretical algorithms straight from research papers and designing an intuitive API to house it all. I will continue to be a core maintainer of the library, and with a community of over 300 researchers anticipating the release, I hope to see it become the "Hugging Face" of automated planning!
At QMIND, Canada's largest undergraduate AI organization, I've gone from rejected to team lead to my current position as Director of Design.
After being rejected in my freshman year, I dedicated my free time the following summer to learn as much as I could about AI and machine learning. When I returned to school next semester, I applied for both general team member and team lead, thinking I may as well shoot for the moon. Little did I know I would be hired to the lead role! My team completed a project exploring the use of computer vision for human attention detection, which we presented at CUCAI 2021. I went on to author an award-winning technical paper on our work, published through the CUCAI Conference Proceedings.
As Director of Design, I spent the summer working with my project managers to plan this year's design projects and acquire clients, working with the other Directors to plan the Design division's operations for this year, and creating technical training resources to teach new members about various machine learning concepts and algorithms. Now that the school year is well underway I am directly overseeing 6 projects, 5 of which are client-facing, which involves holding regular meetings with the PMs to stay up-to-date on their progress and challenges, and providing technical guidance to ensure the projects are completed on time.