Third-year Statistics & Applied Mathematics with Sci-Computing and Sci-ML student at the University of Waterloo (class of 2028).
Full-stack IDE with fine-tuned small models running entirely on-device. Local inference as a first-class citizen of dev tooling.
Wearable temperature tracking paired with software that learns your eczema flare patterns. Hardware + software in 36 hours.
Processes environmental sensor streams to surface early wildfire risk for first responders.
Personalized outfit recs from real-time weather, using a fine-tuned Llama 3.1 and Stable Diffusion.
Over the last two years, I've built at hackathons, shipped tools at co-ops, and gotten a better sense of the problems I want to work on. I’m most drawn to work that turns messy, complex data into something useful: a forecast, a risk signal, or a product feature that helps a team make a better decision.
I’m looking for a Winter 2027 co-op in data science or analytics where I can tackle complex problems with data, develop tools and products that ships, and learn from people with more experience than me.
After graduating, I hope to pursue a part-time master’s degree in data science while working full-time.