I have various experience within AI research and software development
Included are my club positions within Queens University, where I lead teams within QMIND and InQUbate.
Developed distributed vehicle fleet tracking applications, working on both the frontend and backend, using Java, Springboot, and MySQL.
I worked on the frontend of the main Distributive website, as well as implementing a backend for user authentication and messaging. Used React, Typescript and NodeJS
I lead AI research at QMIND, Canada's largest undergraduate organization on AI. My division outputs four research intensive papers every year, spanning from Semantic Contextualization of 3D Environments, to Bias Modelling of Large Datasets.
During my time at the University of Toronto, i created a guassian naive bayes program to classify corrupted number data. This was my first real intro into machine learning.
I was the lead developer at a startup offering missed call solutions to Dental Clinics. I developed a way to retain information from clients, even if their calls were missed with Python. Also developed a frontend using NextJs.
I support the development of two student run startups, advising them on technical decisions and assist with the entire development pipeline.