I'm currently a first year at University of Toronto studying computer science!
public class skills {
public static void main(String[] args) {
String[] languages = {"Java", "C++", "Python", "HTML", "CSS", "JavaScript/TypeScript", "SQL"};
String[] technologies = {"PyTorch", "Spring", "ReactJS", "Flask", "MySQL", "Tailwind", "Thymeleaf"};
String[] interests = {"Reinforcement Learning", "Machine Learning", "Quantitative Finance", "Competitive Programming", "Web Development"};
String[] hobbies = {"Poker", "Badminton", "Geometry Dash", "Valorant", "Minecraft", "Video Editing"};
System.out.println("Thanks for reading through the profile!");
}
}I first started coding by doing competitive programming. Afterwards I tried SWE (my first ever project and I was gr. 10 so there are some egregious practices 😅), Web Dev, Quantum Computing, and ML while also attending 10+ hackathons. At the same time, I tried founding a medical startup and I co-founded NRGHacks, which ran 2 iterations and hosted 200+ students in total. I also interned at Game Pill doing AI and SWE work and taught coding at Code Ninjas.
After high school, I knew I wanted to pursue either ML or quant. I joined 3 ML projects @ UofT's Machine Intelligence Student Team and a quant design team (St. George Capital) to continue exploring, where I helped build a self-explaining RL-based chess engine, a no-code agent/multi-agent system builder, a dynamic few-shot object detector, and a clustering-based stock portfolio allocator. I've decided to focus on ML because of its ceiling for real-world impact, but I'm still interested in quant and finance. Unfortunately, I still haven't decided whether engineering or research is for me!
Today, I'm currently incoming @ Shopify and I'm still building ML projects to work on my skills! Stay tuned for more.