I’m a 4th year student at the University of Waterloo, majoring in Data Science. I’m interested in learning. Currently obsessed with Neural Networks and evaluating LLMs.
-
Currently: I’m an ML Intern at Daylun, an award-winning startup based in Toronto that’s looking to disrupt the construction industry. I’m working on reinforcement environments for our machinery and developing computer vision networks to detect defects. I’ve also taken on the role of VP CxC, where I’ll be overseeing the organization of Canada’s largest Datathon.
-
Previously: I just finished my 3B term of study, where I took courses like Algorithms, Compilers, and Mathematical Statistics. I also was an executive Project Lead & Data Science Mentor for the UWaterloo Data Science Club, as well as a ML Engineer for the WatStreet design team.
-
In my latest work term, I was at Western University as a Data Science Intern, researching under the guidance of Dr. Vida to investigate Flux measurement discrepancies using machine learning models in Python.
Currently seeking Winter/Summer 2026 internships.
Contact me at david [dot] he [at] uwaterloo [dot] ca
Check out some of my projects:
- Contextualize - 3D visualization software to quickly onboard into GitHub repositories
- Sentiment Analysis Bot - Deep learning model that can evaluate the sentiment behind text
- Snack Track - Food nutrition data bank to promote nutrition-conscious decision making
- Portfolio Website - React-based website designed to showcase side projects